Best AI tools for< Analyze News Data >

Quantexa News Intelligence is an AI-powered news data application that provides fast and powerful access to global news content. It offers real-time access to enriched, tagged, and structured news feeds, enabling users to build intelligent news-driven applications and workflows. With features like AI-powered search, data visualizations, and instant insights, Quantexa News API aggregates news from 90,000+ sources and 1.3M NLP-enriched articles daily. It helps users investigate events, enhance risk monitoring processes, and deliver news data to relevant apps and models efficiently.

Investiment.io is a financial news and data platform that uses AI to help investors make better decisions. The platform provides access to real-time news, earnings transcripts, and financial data, as well as AI-powered insights and analysis. Investiment.io is designed to help investors of all levels, from beginners to experienced professionals.

Stockpulse is an AI-powered platform that analyzes financial news and communities using Artificial Intelligence. It provides decision support for operations by collecting, filtering, and converting unstructured data into processable information. With extensive coverage of financial media sources globally, Stockpulse offers unique historical data, sentiment analysis, and AI-driven insights for various sectors in the financial markets.

Overwatch Data is a comprehensive intelligence platform that provides real-time, global understanding for cyber, fraud, security, supply chain, and market intelligence needs. The platform offers concise, actionable insights tailored to the user's requirements, cutting through noise to deliver essential information. Users can build custom monitoring solutions for various intelligence areas and benefit from intuitive data visualizations, executive summaries, and free-form chat with news data. Overwatch Data aims to save time and enhance decision-making by providing contextualized intelligence for fraud, security, and insights teams.

MarketGPT is an artificial intelligence model trained to predict stock movements based on news items. It evaluates the news and decides how the company stock is going to be affected by it. Users can access the model through the MarketGPT website or mobile app to get stock predictions and picks. The model's performance can be viewed for different time frames such as 1 week, 1 month, and 1 year. However, users are advised that investing in stocks and derivatives carries a risk of financial loss, and past performance is not a guarantee of future performance. MarketGPT is designed to assist users in making informed decisions in the stock market.

Rafa.ai is an AI-powered investing application that offers a comprehensive suite of tools and features to assist users in making informed investment decisions. The platform utilizes AI agents to provide real-time insights, portfolio alerts, risk analysis, and options monitoring. Users can access data-driven trading strategies, perform equity research, and analyze news sentiment. Rafa.ai aims to help users manage their investment risks, discover investment opportunities, and make smarter investment decisions.

RoboFin is an AI-powered investment analyst that helps you make better investment decisions. It analyzes mountains of data - news, financials, trends - faster than any human could. You get clear, actionable information about each stock you are interested in such as positive things, concerns and a forecast of how the price might move based on the data analysis. Data-driven decisions replace gut feelings.

StartupHub AI is a comprehensive platform providing data and tech news related to the AI startup ecosystem. It offers information on startups, funding rounds, investors, events, and more. The platform serves as a hub for AI professionals, investors, and startups, with a focus on the Israeli AI startup scene. Users can access original content, statistics, infographics, and press releases to stay updated on the latest trends and developments in the AI industry.

EnterpriseAI is an advanced computing platform that focuses on the intersection of high-performance computing (HPC) and artificial intelligence (AI). The platform provides in-depth coverage of the latest developments, trends, and innovations in the AI-enabled computing landscape. EnterpriseAI offers insights into various sectors such as financial services, government, healthcare, life sciences, energy, manufacturing, retail, and academia. The platform covers a wide range of topics including AI applications, security, data storage, networking, and edge/IoT technologies.

AI News is a website dedicated to providing news, analysis, and insights related to artificial intelligence (AI) technologies. The site covers a wide range of topics within the AI domain, including applications, chatbots, face recognition, virtual assistants, voice recognition, companies like Amazon, Apple, Google, and Microsoft, as well as deep learning, ethics, industries, machine learning, robotics, security, and more. AI News aims to keep readers informed about the latest developments, trends, and innovations in the field of artificial intelligence.

Microsoft is a leading technology company that develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and services. Its best-known software products are the Microsoft Windows operating system, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. Its hardware products include the Xbox video game consoles and the Surface tablet computers. Microsoft is also a major provider of cloud computing services through its Azure platform.

StoryChief is an all-in-one content marketing platform that empowers marketing agencies and teams to create, collaborate, and distribute content effectively across digital channels. With features like Content Calendar, Social Media Management, AI Power Mode, and Analytics & Reporting, StoryChief streamlines content creation, maximizes reach, and enhances SEO. The platform offers advantages such as centralizing workflow, speeding up publishing, cutting costs, and scaling with agency growth. However, some disadvantages include the need for a learning curve, potential dependency on AI recommendations, and limited customization options.

AI-Weekly is the world's #1 online resource for current news and trends in artificial intelligence. It provides weekly newsletters covering the latest developments in AI, including articles on healthcare revolution, synthetic data, and augmented LLMs. The platform aims to bridge the gap between AI enthusiasts and experts by offering insightful content and analysis on AI technologies.

Quanta Intelligence is a comprehensive platform providing business insights on the latest AI news. It offers in-depth analysis and expert commentary on artificial intelligence developments, helping users stay informed and competitive. With deep expertise and precision data, Quanta Intelligence is a top-quality, unbiased resource for AI news and insights. The platform sets the standard for excellence in the rapidly-evolving world of artificial intelligence.

DataSnack is a real-time, AI-driven due diligence platform that helps you make better decisions faster. With DataSnack, you can access a wealth of data and insights on companies, industries, and markets, all in one place. Our AI-powered platform analyzes data from a variety of sources, including news, social media, and financial filings, to provide you with the most up-to-date and relevant information. With DataSnack, you can:

TechCrunch is a leading technology media property, dedicated to obsessively profiling startups, reviewing new Internet products, and breaking tech news.

MobiHealthNews is a digital health publication that covers breaking news and trends in healthcare. The website provides insights on AI models in radiology, responsible AI implementation, and digital tools for mental health. It also features news on partnerships in healthcare technology and advancements in AI adoption. MobiHealthNews aims to deliver daily updates on the latest developments in digital health and AI applications.

BigCheese.ai is an AI application that helps companies launch and market AI products. The platform offers workshops, podcasts, and news updates to assist businesses in integrating AI into their products. Additionally, BigCheese.ai provides AI training seminars, prompt engineering, and custom AI workers to enhance productivity and efficiency. With a focus on data privacy and practical AI application for businesses, BigCheese.ai aims to support small and midsize companies in their AI transformation journey.

Supersimple is an AI-native data analytics platform that combines a semantic data modeling layer with the ability to answer ad hoc questions, giving users reliable, consistent data to power their day-to-day work.

OGBRAIN is a website that provides Crypto Data Intelligence, Market Analytics, and On-Chain Insights. The platform offers a wide range of information related to cryptocurrencies, including market trends, prices, market capitalization, and trading volumes. Users can access real-time data on various cryptocurrencies and stay updated on the latest news and trends in the crypto market.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Taranis AI is an advanced Open-Source Intelligence (OSINT) tool that leverages Artificial Intelligence to revolutionize information gathering and situational analysis. It navigates through diverse data sources like websites to collect unstructured news articles, utilizing Natural Language Processing and Artificial Intelligence to enhance content quality. Analysts then refine these AI-augmented articles into structured reports that serve as the foundation for deliverables such as PDF files, which are ultimately published.

The gpt-bitcoin repository is focused on creating an automated trading system for Bitcoin using GPT AI technology. It provides different versions of trading strategies utilizing various data sources such as OHLCV, Moving Averages, RSI, Stochastic Oscillator, MACD, Bollinger Bands, Orderbook Data, news data, fear/greed index, and chart images. Users can set up the system by creating a .env file with necessary API keys and installing required dependencies. The repository also includes instructions for setting up the environment on local machines and AWS EC2 Ubuntu servers. The future plan includes expanding the system to support other cryptocurrency exchanges like Bithumb, Binance, Coinbase, OKX, and Bybit.

LLM-for-misinformation-research is a curated paper list of misinformation research using large language models (LLMs). The repository covers methods for detection and verification, tools for fact-checking complex claims, decision-making and explanation, claim matching, post-hoc explanation generation, and other tasks related to combating misinformation. It includes papers on fake news detection, rumor detection, fact verification, and more, showcasing the application of LLMs in various aspects of misinformation research.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

Yet Another Chatbot is a sophisticated multimodal chat interface powered by advanced AI models and equipped with a variety of tools. This chatbot can search and browse the web in real-time, query Wikipedia for information, perform news and map searches, execute Python code, compose long-form articles mixing text and images, generate, search, and compare images, analyze documents and images, search and download arXiv papers, save conversations as text and audio files, manage checklists, and track personal improvements. It offers tools for web interaction, Wikipedia search, Python scripting, content management, image handling, arXiv integration, conversation generation, file management, personal improvement, and checklist management.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

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.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

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.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

ExplainableAI.jl is a Julia package that implements interpretability methods for black-box classifiers, focusing on local explanations and attribution maps in input space. The package requires models to be differentiable with Zygote.jl. It is similar to Captum and Zennit for PyTorch and iNNvestigate for Keras models. Users can analyze and visualize explanations for model predictions, with support for different XAI methods and customization. The package aims to provide transparency and insights into model decision-making processes, making it a valuable tool for understanding and validating machine learning models.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

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)

FreeGenius AI is an ambitious project offering a comprehensive suite of AI solutions that mirror the capabilities of LetMeDoIt AI. It is designed to engage in intuitive conversations, execute codes, provide up-to-date information, and perform various tasks. The tool is free, customizable, and provides access to real-time data and device information. It aims to support offline and online backends, open-source large language models, and optional API keys. Users can use FreeGenius AI for tasks like generating tweets, analyzing audio, searching financial data, checking weather, and creating maps.

Responsive and transparent in visualizing global news data.

A helper( now v0.6) in building a world-level news system, integrating news into coherent stories (https://here.news).

以太坊行情与新闻分析，提供交易建议

Analyzes and corrects news article charts, using Korean fonts if needed.

Generates accurate, timely news articles from open-source government data.

companies, trends, tech and data

Analytical FPL strategist using news, fixtures, and player data.

Expert in climate policy, data analysis, roadmaps, and socio-economic impacts, providing up-to-date news and insights

Real-time web browsing FPL expert. It analyzes current football match data, player performances, team news, and expert opinions.

Market data, news, PhD level knowledge in Quant Finance, and advanced browsing

Comprehensive daily Bitcoin trend predictions with data analysis, news, and history.

Analyzing startup trends with a focus on 2024 data, or 2023 if needed.

Census Based News

🔵⚽: Aggiornamenti in tempo reale sul Napoli, storia del club, previsioni basate su dati e notizie. 📰⏰🇮🇹 #ForzaNapoli

Delivers daily U.S. tech company news and stock market analysis.

Stay informed on AGI - with the latest, most relevant news.

Tracks latest UAP updates on Twitter from key figures and credible sources.

Your go-to source for economic news insights.

No-code GPT. Explore the latest in no-code: your hub for news updates, tool reviews, tutorials, events, expert insights, and no-code success stories

Your go-to source for synthesized financial news.