CODEWITHSUNDEEP
pythontwitteranalysis
djcmm476
djcmm476

Reputation: 1813

Twitter search word analysis

I'm attempting some word analysis on a large collection of tweets.

I'm pulling tweets based on a search query, I then want to somehow find the keywords that appear often and that are related to the original query.

I'm not quite sure how to go about this in a reasonably effective manner though. I'm currently just removing stopwords then finding the words that occur most, but this is a bit more basic than I'd like.

Does anyone have any suggestions for this sort of thing (or even links to any reading on the topic)?

Any help greatly appreciated.

(my implementation is in Python, if that's relevant)

Upvotes: 0

Views: 210

Answers (1)

jeffknupp
jeffknupp

Reputation: 6254

For semantic reasoning about the content of a tweet, you should definitely try the NLTK (Natural Language Toolkit Package). It's capable of quite sophisticated analysis of text.

Upvotes: 3

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