extract text from any document. no muss. no fuss.
Text preprocessing, representation and visualization from zero to hero.
Library to scrape and clean web pages to create massive datasets.
Beautiful visualizations of how language differs among document types.
a curated list of R tutorials for Data Science, NLP and Machine Learning
A curated list of resources dedicated to text summarization
Python package for Korean natural language processing.
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
Text mining using tidy tools
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
A configurable web spider with a easy-to-use web console
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
A collection of notebooks for Natural Language Processing from NLP Town
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments
A Node.Js / Neo4J tool that translates words and relations into network graphs and shows you how it all connects.
Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, …
从新浪财经、每经网、金融界、中国证券网、证券时报网上，爬取上市公司（个股）的历史新闻文本数据进行文本分析、提取特征集，然后利用SVM、随机森林等分类器进行训练，最后对实施抓取的新闻数据进行分类预测
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