Yes, it can be used for sentiment analysis.

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

And then you can predict what the most likely label for a text is:

    $ ./fasttext predict model.bin test.txt