CODEWITHSUNDEEP
nlpspacygensimnamed-entity-recognitionphrase
Moulik Kumar
Moulik Kumar

Reputation: 1

gensim for Political Ad verification?

I am trying to build a model that uses transcribed audio and on-screen text to classify a video ad as political or non-political, as well as extracts the name of the candidate and sponsor. How can I go about doing this? One possible solution I thought of was using a dictionary of commonly used (or necessitated phrases) like "I approve this message" and "This ad has been sponsored by ..., Vote for" and using Spacy NER to extract the candidate's name from these phrases. If anyone has any solutions/suggestions please let me know.

Trying to classify the ad as political or non-political and extract the candidate's name, constituency, and party

Upvotes: -1

Views: 26

Answers (1)

gojomo
gojomo

Reputation: 54153

Once you have texts and create a set of properly-labeled examples, this is the same as any other "binary text classification" task, for which you can find plentiful tutorials/examples online.

If and when you hit specific problems attempting to apply one of those to your data, you'd be in a better position to ask StackOverflow for assistance to whatever challenges you face.

Upvotes: 0

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