#Text-mining
Showing 49 of 49 repositories tagged #text-mining, ranked by stars
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
extract text from any document. no muss. no fuss.
Text preprocessing, representation and visualization from zero to hero.
Beautiful visualizations of how language differs among document types.
Library to scrape and clean web pages to create massive datasets.
a curated list of R tutorials for Data Science, NLP and Machine Learning
A collection of notebooks for Natural Language Processing from NLP Town
A list of awesome resources for Computational Social Science
Fast topic modeling platform
A foundational library for Semantic Hypergraphs
Resources for learning about Text Mining and Natural Language Processing
R package for web-based interactive topic model visualization.
Various Algorithms for Short Text Mining
cntext is a Python library for social science text analysis, offering word frequency, sentiment, word embeddings, and semantic projection to measure constructs like attitudes and psychological states from Chinese text.
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Machine Learning Lectures at the European Space Agency (ESA) in 2018
A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:
KH Coder: for Quantitative Content Analysis or Text Mining
Labelling platform for text using weak supervision.
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
Materials for GWU DNSC 6279 and DNSC 6290.
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
👷♂️ A simple package for extracting useful features from character objects 👷♀️
List of textual data sources to be used for text mining in R
Efficient string matching with regular expressions
DocWire SDK: Award-winning modern data processing in C++20. SourceForge Community Choice & Microsoft support. AI-driven processing. Supports nearly 100 data formats, including email boxes and OCR. Boost efficiency in text extraction, web data extraction, data mining, document analysis. Offline processing is possible for security and confidentiality
【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱thunderhit@qq.com
Text summarization starting from scratch.
Repo for Applied Text Mining in Python (coursera) by University of Michigan
BERT, LDA, and TFIDF based keyword extraction in Python
Curated List of Persian Groups and Channels for Iranian Developers in Telegram
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
Tooling that automates your Facebook interactions.
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Char-level RNN LSTM password cracker 🔑🔓.
Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning
一个比较全面的文本挖掘过程。包含了利用机器学习和文本挖掘技术完成情感分析模型搭建；利用情感极性判断与程度计算来判断情感倾向；利用词频和TF-IDF挖掘出正负文本中的关键点情况；利用文本挖掘相关算法找到平台中用户讨论的集中点。
Scientific Document Insight Q/A
Can we quickly summarize & visualize text to get the details about the unstructured data? Yes we can! Please review this code pattern for all the steps involved to quickly summarize & visualize the data.
知乎内容爬虫 | Web scraper for Zhihu content extraction
Repository for the projects needed to complete the Data Analyst Nanodegree.
A PMC ID in. Clean, loss-aware article JSON out. Parse PubMed Central and JATS XML for biomedical AI, RAG, search, and literature pipelines.
A Node.Js / Neo4J tool that translates words and relations into network graphs and shows you how it all connects.
Clean & analyze social media data with Python. Explore trends, sentiments, & user behavior. Includes data cleaning, visualization, & insights.
This AI-powered tool extracts Subject-Predicate-Object (SPO) triplets from unstructured text using LLMs, performs entity standardization and relationship inference, and generates interactive, community-detected knowledge graphs with rich visualizations.