Natural language processing (NLP) is a subfield of artificial intelligence that involves transforming or extracting useful information from natural language data.
I'm implementing a system that could detect the human emotion in text. Are there any manually annotated data sets available …
database dataset nlp text-mining emotionI need to cluster some text documents and have been researching various options. It looks like LingPipe can cluster plain …
python cluster-analysis nlpNatural Language Processing (NLP), especially for English, has evolved into the stage where stemming would become an archaic technology if "…
nlp wordnet stemming text-analysis lemmatizationI'm looking to do some sentence analysis (mostly for twitter apps) and infer some general characteristics. Are there any good …
ruby artificial-intelligence nlpI'm currently taking a Natural Language Processing course at my University and still confused with some basic concept. I get …
nlp pos-taggerI am searching for a way to find all the synonyms of a particular word using wordnet. I am using …
nlp wordnet synonym jaws-wordnetI'm preparing some table names for an ORM, and I want to turn plural table names into single entity names. …
algorithm nlp lemmatization inflectionI am trying to use NLTK toolkit to get extract place, date and time from text messages. I just installed …
machine-learning nlp nltk text-processing named-entity-recognitionI have read that the most common technique for topic modeling (extracting possible topics from text) is Latent Dirichlet allocation (…
nlp topic-modeling word2vec