deduceDeduce: de-identification method for Dutch medical text
Stars: ✭ 40 (+90.48%)
Mutual labels: text-mining
textlearnRA simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (-23.81%)
Mutual labels: text-mining
VERSEVancouver Event and Relation System for Extraction
Stars: ✭ 13 (-38.1%)
Mutual labels: text-mining
extractnetA Dragnet that also extract author, headline, date, keywords from context
Stars: ✭ 52 (+147.62%)
Mutual labels: text-mining
malay-datasetText corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html
Stars: ✭ 189 (+800%)
Mutual labels: text-mining
thrones2vecUsing Word2Vec to explore semantic similarities between the entities of "A Song of Ice and Fire" ("Game of Thrones").
Stars: ✭ 27 (+28.57%)
Mutual labels: text-mining
textreadrTools to uniformly read in text data including semi-structured transcripts
Stars: ✭ 65 (+209.52%)
Mutual labels: text-mining
readerDistant Reader, a tool for using & understanding a corpus
Stars: ✭ 18 (-14.29%)
Mutual labels: text-mining
odinsonOdinson is a powerful and highly optimized open-source framework for rule-based information extraction. Odinson couples a simple, yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates in near real time.
Stars: ✭ 59 (+180.95%)
Mutual labels: text-mining
JoSH[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Stars: ✭ 55 (+161.9%)
Mutual labels: text-mining
nejiFlexible and powerful platform for biomedical information extraction from text
Stars: ✭ 37 (+76.19%)
Mutual labels: text-mining
misinfo📊 Tools to Perform ‘Misinformation’ Analysis on a Text Corpus (wrapper for methods in https://github.com/PDXBek/Misinformation)
Stars: ✭ 17 (-19.05%)
Mutual labels: text-mining
SearchBlue Brain text mining toolbox for semantic search and structured information extraction
Stars: ✭ 26 (+23.81%)
Mutual labels: text-mining
tf-idf-pythonTerm frequency–inverse document frequency for Chinese novel/documents implemented in python.
Stars: ✭ 98 (+366.67%)
Mutual labels: text-mining
TRUNAJOD2.0An easy-to-use library to extract indices from texts.
Stars: ✭ 18 (-14.29%)
Mutual labels: text-mining
converseConversational text Analysis using various NLP techniques
Stars: ✭ 147 (+600%)
Mutual labels: text-mining
TabInOutFramework for information extraction from tables
Stars: ✭ 37 (+76.19%)
Mutual labels: text-mining
