AravecAraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
QminerAnalytic platform for real-time large-scale streams containing structured and unstructured data.
ShallowlearnAn 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.
Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
HdltexHDLTex: Hierarchical Deep Learning for Text Classification
BreadabilityReworked https://www.readability.com/ parsing library (now https://mercury.postlight.com/ is living alternative)
TextheroText preprocessing, representation and visualization from zero to hero.
Nlp profilerA 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.
Multi rakeMultilingual Rapid Automatic Keyword Extraction (RAKE) for Python
TokenizersFast, Consistent Tokenization of Natural Language Text
LazynlpLibrary to scrape and clean web pages to create massive datasets.
UdpipeR package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit
Awesome Nlp📖 A curated list of resources dedicated to Natural Language Processing (NLP)
ChemdataextractorAutomatically extract chemical information from scientific documents
Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
XiocExtract indicators of compromise from text, including "escaped" ones.
QdapQuantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis
Hands On Natural Language Processing With PythonThis repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
KateCode & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
Datasciencera curated list of R tutorials for Data Science, NLP and Machine Learning
KhcoderKH Coder: for Quantitative Content Analysis or Text Mining
ScattertextBeautiful visualizations of how language differs among document types.
GeniusEasily access song lyrics from Genius in a tibble.
LexiconA data package containing lexicons and dictionaries for text analysis
R Text DataList of textual data sources to be used for text mining in R
Python nlp tutorialThis repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
KonlpyPython package for Korean natural language processing.
PipeitPipeIt is a text transformation, conversion, cleansing and extraction tool.
NgramFast n-Gram Tokenization
Spark NkpNatural Korean Processor for Apache Spark
TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Friend.lyA social media platform with a friend recommendation engine based on personality trait extraction
Gsoc2018 3gm💫 Automated codification of Greek Legislation with NLP
TidytextText mining using tidy tools ✨📄✨
Metasra PipelineMetaSRA: normalized sample-specific metadata for the Sequence Read Archive
Tidy Text MiningManuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
NlpplnNLP pipeline software using common workflow language
SpiderA configurable web spider with a easy-to-use web console
AutophraseAutoPhrase: Automated Phrase Mining from Massive Text Corpora
Rake NltkPython implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
Nlp In PracticeStarter 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.
Text2vecFast vectorization, topic modeling, distances and GloVe word embeddings in R.