Best AI tools for< Analyze Nlp >

Compar.ai is an AI-powered content analysis tool that helps businesses improve their content's effectiveness. The tool uses natural language processing (NLP) to analyze content and extract keywords, determine sentiment, and identify emotions. This information can then be used to improve the content's readability, engagement, and conversion rate.

Inven is an AI-powered company data platform that helps professionals in private equity, investment banking, business brokerage, consulting, and corporate development find companies faster and more efficiently. With Inven, users can access a database of over 23 million companies and 430 million contacts in over 160 countries. Inven's AI algorithms and NLP solutions analyze millions of data points from a wide range of sources to give users actionable insights on any niche.

Explosion is a software company specializing in developer tools and tailored solutions for AI, Machine Learning, and Natural Language Processing (NLP). They are the makers of spaCy, one of the leading open-source libraries for advanced NLP. The company offers consulting services and builds developer tools for various AI-related tasks, such as coreference resolution, dependency parsing, image classification, named entity recognition, and more.

Medallia is an AI-powered real-time text analytics software that empowers organizations to derive actionable insights from customer interactions across various channels. With a focus on democratizing text analytics, Medallia's platform offers comprehensive feedback capture, role-based reporting, AI & analytics capabilities, integrations, and enterprise-grade security. The software enables users to uncover essential insights, easily share data, and expand programs with flexible pricing. Medallia caters to industries such as automotive, healthcare, retail, and technology, providing end-to-end customer experience management solutions and employee listening and activation tools.

Mixpeek is a flexible search infrastructure designed to simplify multimodal search across various media types. It allows users to search using natural language, images, or video clips, providing insights and recommendations with just one line of code. Mixpeek offers universal media intelligence, semantic search, visual query, hybrid search, and fine-tuning capabilities for precise and efficient multimodal search results. It is built to scale with user needs, supporting hosted or BYO models for image, video, and audio understanding. Mixpeek also provides performance analytics, advanced aggregations, and custom entities detection across media types.

Derwen is an open-source integration platform for production machine learning in enterprise, specializing in natural language processing, graph technologies, and decision support. It offers expertise in developing knowledge graph applications and domain-specific authoring. Derwen collaborates closely with Hugging Face and provides strong data privacy guarantees, low carbon footprint, and no cloud vendor involvement. The platform aims to empower AI engineers and domain experts with quality, time-to-value, and ownership since 2017.

Tinq.ai is a natural language processing (NLP) tool that provides a range of text analysis capabilities through its API. It offers tools for tasks such as plagiarism checking, text summarization, sentiment analysis, named entity recognition, and article extraction. Tinq.ai's API can be integrated into applications to add NLP functionality, such as content moderation, sentiment analysis, and text rewriting.

Genailia is an AI platform that offers a range of products and services such as translation, transcription, chatbot, LLM, GPT, TTS, ASR, and social media insights. It harnesses AI to redefine possibilities by providing generative AI, linguistic interfaces, accelerators, and more in a single platform. The platform aims to streamline various tasks through AI technology, making it a valuable tool for businesses and individuals seeking efficient solutions.

Hexabot is an AI tool designed for building and managing AI-powered chatbots. It offers a user-friendly platform for creating chatbots that can interact with users in a seamless manner. With Hexabot, users can easily design and customize chatbot functionalities to suit their specific needs. The tool provides a range of features and advantages that make it a valuable asset for businesses looking to enhance customer engagement and streamline communication processes.

Lexalytics is a leading provider of text analytics and natural language processing (NLP) solutions. Our platform and services help businesses transform complex text data into valuable insights and actionable intelligence. With Lexalytics, you can: * **Analyze customer feedback** to understand what your customers are saying about your products, services, and brand. * **Identify trends and patterns** in text data to make better decisions about your business. * **Automate tasks** such as document classification, entity extraction, and sentiment analysis. * **Develop custom NLP applications** to meet your specific needs.

NetGeist is an AI tool that offers Natural Language Processing solutions to tackle textual challenges by automating, processing, and summarizing information. It provides various applications such as app review tracking, HR strategy shaping, stock market sentiment analysis, and custom chatbots. NetGeist aims to create tailor-made NLP solutions for different industries, leveraging AI technologies to enhance workflow efficiency and decision-making processes.

Needl.ai is an AI-powered platform designed to provide seamless information intelligence for enterprises. It unifies information from internal and external data sources, delivering near real-time, actionable insights. Users can connect preferred apps and data sources, curate personalized feeds, and centralize interactions with data using AI Assistants. Needl.ai offers a range of products for efficient enterprise decision-making, including Needl Feed, Needl Assistants, and AskNeedl for intelligent data aggregation and interactions.

MTS AI is a platform offering AI-based products and solutions, leveraging artificial intelligence technologies to create voice assistants, chatbots, video analysis solutions, and more. They develop AI solutions using natural language processing, computer vision, and edge computing technologies, collaborating with leading tech companies and global experts. MTS AI aims to find the most viable AI applications for the benefit of society, providing automation for customer service systems, security control, and voice and video data analysis.

Quantexa News API is an AI-powered news data application that provides efficient, effective, and accurate access to global news at scale. It offers real-time access to enriched, tagged, and structured news feeds, enhancing risk monitoring processes and models. The application aggregates news content from over 90,000 sources and 1.3 million NLP-enriched news articles daily, with advanced AI-powered search capabilities. Users can investigate data through visualizations, automate tasks with entity and sentiment analysis, and easily share news data with relevant stakeholders.

InData Labs is a data science and analytics consulting firm that specializes in delivering AI-powered solutions to companies looking to leverage data and machine learning algorithms for business value. The company offers services such as AI consulting, AI software development, data science services, machine learning consulting, and customer experience consulting. InData Labs helps businesses innovate with AI, enrich customer insights, automate processes, and be more cost-efficient. The company's mission is to bring the power of AI to every business by developing new systems, solutions, and products to help clients stand out from their competition.

UBIAI is a powerful text annotation tool that helps businesses accelerate their data labeling process. With UBIAI, businesses can annotate any type of document, including PDFs, images, and text. UBIAI also offers a variety of features to make the annotation process easier and more efficient, such as auto-labeling, multi-lingual annotation, and team collaboration. With UBIAI, businesses can save time and money on their data labeling projects.

PoweredbyAI is a platform offering a variety of free AI tools for users to utilize. Users can access a range of AI-powered applications to assist with various tasks and projects. The platform aims to simplify the use of AI technology for individuals and businesses, providing easy access to tools that can enhance productivity and efficiency. With a user-friendly interface, PoweredbyAI caters to both beginners and advanced users looking to leverage AI capabilities in their work.

Chatbots Life is a platform dedicated to providing comprehensive resources and insights on chatbots, AI, and natural language understanding (NLU). The website offers a wide range of content, including articles, workshops, and events, to help individuals learn and stay updated on the latest trends and technologies in the field of conversational AI.

TUNiB is an AI application that specializes in creating conversational AI that people emotionally engage with. It offers services such as NLP APIs for detecting hate speech and breaches of private information, safety checks for toxicity detection, de-identification for masking personal information, and various analytics services like text, image, news, and video analytics. TUNiB aims to provide cutting-edge technologies while upholding high ethical standards.

Fiddler AI is an AI Observability platform that provides tools for monitoring, explaining, and improving the performance of AI models. It offers a range of capabilities, including explainable AI, NLP and CV model monitoring, LLMOps, and security features. Fiddler AI helps businesses to build and deploy high-performing AI solutions at scale.

Project Lakechain is a cloud-native, AI-powered framework for building document processing pipelines on AWS. It provides a composable API with built-in middlewares for common tasks, scalable architecture, cost efficiency, GPU and CPU support, and the ability to create custom transform middlewares. With ready-made examples and emphasis on modularity, Lakechain simplifies the deployment of scalable document pipelines for tasks like metadata extraction, NLP analysis, text summarization, translations, audio transcriptions, computer vision, and more.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, ,'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in less than 3 words,Verb + noun form,in daily spoken language,in lowercase letters).Answer in english languagesname:Awesome-Chinese-LLM readme:# Awesome Chinese LLM   An Awesome Collection for LLM in Chinese 收集和梳理中文LLM相关    自ChatGPT为代表的大语言模型（Large Language Model, LLM）出现以后，由于其惊人的类通用人工智能（AGI）的能力，掀起了新一轮自然语言处理领域的研究和应用的浪潮。尤其是以ChatGLM、LLaMA等平民玩家都能跑起来的较小规模的LLM开源之后，业界涌现了非常多基于LLM的二次微调或应用的案例。本项目旨在收集和梳理中文LLM相关的开源模型、应用、数据集及教程等资料，目前收录的资源已达100+个！ 如果本项目能给您带来一点点帮助，麻烦点个⭐️吧～ 同时也欢迎大家贡献本项目未收录的开源模型、应用、数据集等。提供新的仓库信息请发起PR，并按照本项目的格式提供仓库链接、star数，简介等相关信息，感谢~

MAVIS (Math Visual Intelligent System) is an AI-driven application that allows users to analyze visual data such as images and generate interactive answers based on them. It can perform complex mathematical calculations, solve programming tasks, and create professional graphics. MAVIS supports Python for coding and frameworks like Matplotlib, Plotly, Seaborn, Altair, NumPy, Math, SymPy, and Pandas. It is designed to make projects more efficient and professional.

Hydra Dragon Antivirus is a comprehensive tool that combines dynamic and static analysis using Sandboxie for Windows with ClamAV, YARA-X, machine learning AI, behavior analysis, NLP-based detection, website signatures, Ghidra, and Snort. The tool provides a Machine Learning Malware and Benign Database for training, along with a guide for compiling from source. It offers features like Ghidra source code analysis, Java Development Kit setup, and detailed logs for malware detections. Users can join the Discord community server for support and follow specific guidelines for preparing the analysis environment. The tool emphasizes security measures such as cleaning up directories, avoiding sharing IP addresses, and ensuring ClamAV database installation. It also includes tips for effective analysis and troubleshooting common issues.

LLMeBench is a flexible framework designed for accelerating benchmarking of Large Language Models (LLMs) in the field of Natural Language Processing (NLP). It supports evaluation of various NLP tasks using model providers like OpenAI, HuggingFace Inference API, and Petals. The framework is customizable for different NLP tasks, LLM models, and datasets across multiple languages. It features extensive caching capabilities, supports zero- and few-shot learning paradigms, and allows on-the-fly dataset download and caching. LLMeBench is open-source and continuously expanding to support new models accessible through APIs.

Awesome-LLM-Large-Language-Models-Notes is a repository that provides a comprehensive collection of information on various Large Language Models (LLMs) classified by year, size, and name. It includes details on known LLM models, their papers, implementations, and specific characteristics. The repository also covers LLM models classified by architecture, must-read papers, blog articles, tutorials, and implementations from scratch. It serves as a valuable resource for individuals interested in understanding and working with LLMs in the field of Natural Language Processing (NLP).

Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

RankLLM is a suite of prompt-decoders compatible with open source LLMs like Vicuna and Zephyr. It allows users to create custom ranking models for various NLP tasks, such as document reranking, question answering, and summarization. The tool offers a variety of features, including the ability to fine-tune models on custom datasets, use different retrieval methods, and control the context size and variable passages. RankLLM is easy to use and can be integrated into existing NLP pipelines.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Spark NLP is a state-of-the-art Natural Language Processing library built on top of Apache Spark. It provides simple, performant, and accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment. Spark NLP comes with 36000+ pretrained pipelines and models in more than 200+ languages. It offers tasks such as Tokenization, Word Segmentation, Part-of-Speech Tagging, Named Entity Recognition, Dependency Parsing, Spell Checking, Text Classification, Sentiment Analysis, Token Classification, Machine Translation, Summarization, Question Answering, Table Question Answering, Text Generation, Image Classification, Image to Text (captioning), Automatic Speech Recognition, Zero-Shot Learning, and many more NLP tasks. Spark NLP is the only open-source NLP library in production that offers state-of-the-art transformers such as BERT, CamemBERT, ALBERT, ELECTRA, XLNet, DistilBERT, RoBERTa, DeBERTa, XLM-RoBERTa, Longformer, ELMO, Universal Sentence Encoder, Llama-2, M2M100, BART, Instructor, E5, Google T5, MarianMT, OpenAI GPT2, Vision Transformers (ViT), OpenAI Whisper, and many more not only to Python and R, but also to JVM ecosystem (Java, Scala, and Kotlin) at scale by extending Apache Spark natively.

This repository provides a comprehensive guide to Natural Language Processing (NLP), covering topics from Tokenization to Transformer Architecture. It aims to equip users with a solid understanding of NLP concepts, evolution, and core intuition. The repository includes practical examples and hands-on experience to facilitate learning and exploration in the field of NLP.

This repository is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

ContextCite is a tool for attributing statements generated by LLMs back to specific parts of the context. It allows users to analyze and understand the sources of information used by language models in generating responses. By providing attributions, users can gain insights into how the model makes decisions and where the information comes from.

AI Trading Sentiment Surge - Dive into market trends with AI-powered sentiment analysis and NLP to guide investment strategies. 🌐📊🤖

Expert in NLP, persuasion, and body language, teaching through lessons and practical tests.

Enhanced search assistant with user feedback integration and advanced NLP.

Enhance GPT interactions with precise, insightful analysis. Uncover nuanced conversation depths with GPT Insight Analyzer. V.0.41 Start the dialogue—just say 'Hi'.

一个高级财务及估值分析师，对上市公司财报分步、系统的分析，并输出专业的分析报告

Asesor político especializado en análisis político, estrategias y redacción de discursos.

An AI that embodies the persona of William Shakespeare, offering first-person insights into his life and works, and generating creative content inspired by his literary contributions. It provides historical context, analysis, and can engage in Shakespearean-style dialogue.

helps with a deeper understanding of the most populair seduction books.

I analyze cognitive biases in scenarios and thoughts, providing neutral, educational insights.

Analyze and reverse engineer images. Receive style descriptions and image re-creation prompts.

I'll help you analyze market news and charts for trading/investing

I read and analyze annual reports of companies. Just upload the annual report PDF and start asking me questions!

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

I analyze historical events, offering insights from multiple perspectives.

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

Critically analyze SLIs/SLOs with a deeper, provocative approach

Analyze any uploaded art piece, providing thoughtful insight on the history of the piece and its maker. Replicate art pieces in new styles generated by the user. Be an overall expert in art and help users navigate the art scene. Inform them of different types of art

I analyze situations using game theory to advise on the best strategic approach.

I analyze website screenshots for UI/UX improvements.

A tool for historians to analyze and catalog historical images and documents.