keyword-extraction   21

lvsh/keywordfinder: Automatic keyword extraction - no alchemy required!
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
keyword-extraction  code  python  deep-learning  dataset  algorithm  nlp 
march 2018 by nharbour
snkim/AutomaticKeyphraseExtraction: Data for Automatic Keyphrase Extraction Task
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
keyword-extraction  nlp  dataset  deep-learning 
march 2018 by nharbour
zelandiya/keyword-extraction-datasets: Different datasets for developing and testing keyword extraction algorithms
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
keyword-extraction  nlp  dataset  deep-learning 
march 2018 by nharbour
csurfer/rake-nltk: Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
keyword-extraction  keywords  deep-learning  nltk  nlp  python 
march 2018 by nharbour
AlchemyAPI - IBM Bluemix
AlchemyAPI offers a set of three services that enable businesses and developers to build cognitive applications that understand the content and context within text and images. For instance, using AlchemyAPI, developers can perform tasks such as extracting the people, places, companies, and other entities mentioned in a news article or analyze an image to understand the contents of the photo.
api  alchemy  text  analysis  keyword-extraction  article-extraction  information-retrieval 
april 2016 by nharbour
davidadamojr/TextRank · GitHub
Python implementation of TextRank algorithm for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.
textrank  text-analytics  summarization  keyword-extraction  nlp  nltk 
september 2015 by mjlassila
DISCO - semantic similarity
DISCO (extracting DIstributionally related words using CO-occurrences) is a Java class that allows to retrieve the semantic similarity between arbitrary words. The similarities are based on the statistical analysis of very large text collections. The tool runs on all popular operating systems, including Windows, Linux, Solaris, and MacOS. The Java API supplies the following methods:
retrieve the semantically most similar words for an input word, e.g. shy → timid quiet introverted lonely cautious awkward clumsy soft-spoken gentle
retrieve the value of the semantic similarity between two input words: sim(gasoline, oil) = 0,522; sim(gasoline, lemonade) = 0,159
retrieve collocations for an input word: beer → keg brewed brewing lager Pilsener brewers brewery Budweiser mug ale
semantic-analysis  keyword-extraction  semantic  web 
may 2011 by sandbags

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alchemy  algorithm  analysis  api  article-extraction  backlinksamurai  code  content-samurai  data-extraction  dataset  deep-learning  demo  fast.ai  github  information-retrieval  keyword-research  keyword  keywords  language  library  machine-learning  market-samurai  nlp  nltk  phrase-extraction  phrase  programming  python  samurai  search-in-text  search  semantic-analysis  semantic  seo  service  summarise  summarization  summary  tag-extraction  tag  term-extraction  text-analytics  text  textrank  tools  web  webserver  word2vec  yahoo 

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