What exactly does it do?
It says this: fastText is a library for efficient learning of word representations and sentence classification.
What does that meant? Is for sentiment analysis?
It says this: fastText is a library for efficient learning of word representations and sentence classification.
What does that meant? Is for sentiment analysis?
Sentence classification is the generic term for bucketing sentences into different labels - those labels could be "positive", "negative" and "neutral", thus allowing for sentiment analysis.
But they could also be other labels such as "sports_news" or "finance_news". This library allows both.
This library basically means you don't have to write the code for sentiment analysis anymore (just one example).
Just feed it a model:
$ ./fasttext supervised -input train.txt -output model
$ ./fasttext predict model.bin test.txtTraditionally, word representations are learned by looking at surrounding words. So "good" and "bad" will have similar word representations.
By training on sentiment, similar sentiment words should be clustered together.