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Currently the words are being filtered using keyword matching Code here
This approach simply looks for the exact keywords in the tweets and filters them
It is always possible that some tweets may contain some keywords which might have a similar meaning to algae bloom (such as eutrophication) but are not the exact same
Such tweets while important are not filtered and instead missed out
Use NLP and word embedding concepts to process the tweet content and find similarity with the keywords so that the tweets having words which have similar meaning to keywords but are not exact keywords are not missed out
The text was updated successfully, but these errors were encountered:
The text was updated successfully, but these errors were encountered: