Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

An R package for the Quantitative Analysis of Textual Data

A Modern C++ Data Sciences Toolkit

Resources for learning about Text Mining and Natural Language Processing

Multiple and Large PDF Documents Text Extraction.

Библиотека для извлечения статистик из текстов на русском языке.

Basic text analytics and natural language processing in Python

A point-and-click tool for creating and analyzing topic models produced by MALLET.

LLM Based NLP Library.

A lightweight Python library for constructing, processing, and visualizing constituent trees.

Repos of Powerapps Component Framework (PCF) Controls

The Azure cloud is huge and the vast service catalog may appear daunting at first, but it doesn’t have to be!

A React hook for analyzing text.

🔬 Очистка датасетов от мусора (нормализация, препроцессинг)

This repository contains open-source sample applications for IBM Streams.

Semantria SDK

Securities and Exchange Commission utility package for dealing with Edgar database. Includes methods to download index files and SEC files in a systematic way.

Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle

Document Enrichment plugin for Elasticsearch

Machine Intelligence using OpenAI, Semantic Kernel, Vector Search, SQL Server

A Python framework for automating domain-agnostic and domain-specific Knowledge Graphs from unstructured text. Integrates NLP and Neo4j for entity extraction, relationship mapping, and semantic enrichment. Ideal for text mining and analytics, with support for temporal and event tagging.

A complete Python text analytics package that allows users to search for a Wikipedia article, scrape it, conduct basic text analytics and integrate it to a data pipeline without writing excessive code.

This is demo repo to demostrate how to scrape post data from Facebook by Python with library facebook_scraper. And then use Azure Text Analytics to perform sentiment analysis for post text content.

Used text analytics (NLP) and machine learning to determine the true earnings quality of publicly listed companies

Text Analytics Pipeline (TAP)

Build 2022 AI Breakout Session Demo App: https://aka.ms/MSBuild2022

Political Discourse Analysis (PDA) of Political Speech Transcripts using Natural Language Processing (NLP)

PostHog with text analytics extensions, serving as an advanced LLM analytics platform.

Babel Street Analytics Client Library for Java