Natural language processing (NLP) is a subfield of artificial intelligence that involves transforming or extracting useful information from natural language data.
I'm working on a project at the moment where I need to pick out the most common phrases in a …
data-structures graph data-mining text-analysisHow do I use sklearn CountVectorizer with both 'word' and 'char' analyzer? http://scikit-learn.org/stable/modules/generated/sklearn.feature_…
python machine-learning scikit-learn analyzer text-analysisThis is a Homework question. I have a huge document full of words. My challenge is to classify these words …
cluster-analysis k-means text-analysisI'm trying to develop a python algorithm to check if a string could be an abbrevation for another word. For …
python string-matching slug abbreviation text-analysisI'm trying to do some text analysis to determine if a given string is... talking about politics. I'm thinking I …
neural-network text-analysis brain.jsI am facing the below error while working on the TM package with R. library("tm") Loading required package: NLP …
r text-mining tm text-analysisI tried the regex stemmer, but I get hundreds of unrelated tokens. I'm just interested in the "play" stem. Here …
nltk tokenize text-analysis lemmatizationI want to analyze a big (n=500,000) corpus of documents. I am using quanteda in the expectation that will be …
r text-analysis term-document-matrix quanteda