AFINN sentiment analysis in Python: Wordlist-based approach for sentiment analysis.

>>> git clone https://github.com/fnielsen/afinn
>>> cd afinn
>>> python setup.py install

>>> from afinn import Afinn
>>> afinn = Afinn()
>>> afinn.score('This is utterly excellent!')
3.0

In Danish:

>>> afinn = Afinn(language='da')
>>> afinn.score('Hvis ikke det er det mest afskyelige flueknepperi...')
-6.0

In Finnish:

>>> afinn = Afinn(language='fi')
>>> afinn.score('Siellä on uusi hyvä juttu, katsokaa ja kuunnelkaa ihmeessä.')
3.0

In Swedish:

>>> afinn = Afinn(language='sv')
>>> afinn.score('det är inte bra')
-2.0

In Turkish:

>>> afinn = Afinn(language='tr')
>>> from six import u
>>> afinn.score(u('iyi de\u011Fil'))
-2.0

>>> afinn = Afinn(language='tr')
>>> afinn.score('iyi değil')
-2.0

With emoticons:

>>> afinn = Afinn(emoticons=True)
>>> afinn.score('I saw that yesterday :)')
2.0

With multiple sentences (here with data from an Austen novel available in Gutenberg):

>>> from afinn import Afinn
>>> from nltk.corpus import gutenberg
>>> import textwrap
>>> afinn = Afinn()
>>> sentences = (" ".join(wordlist) for wordlist in gutenberg.sents('austen-sense.txt'))
>>> scored_sentences = ((afinn.score(sent), sent) for sent in sentences)
>>> sorted_sentences = sorted(scored_sentences)
>>> print("\n".join(textwrap.wrap(sorted_sentences[0][1], 70)))
To attach myself to your sister , therefore , was not a thing to be
thought of ;-- and with a meanness , selfishness , cruelty -- which no
indignant , no contemptuous look , even of yours , Miss Dashwood , can
ever reprobate too much -- I was acting in this manner , trying to
engage her regard , without a thought of returning it .-- But one
thing may be said for me : even in that horrid state of selfish vanity
, I did not know the extent of the injury I meditated , because I did
not THEN know what it was to love .

If you as a scientist use the wordlist or the code please cite this one:

• Finn Årup Nielsen, "A new ANEW: evaluation of a word list for sentiment analysis in microblogs", Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages. Volume 718 in CEUR Workshop Proceedings: 93-98. 2011 May. Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie, Mariann Hardey (editors)

Paper with supplement: https://www2.imm.dtu.dk/pubdb/views/edoc_download.php/6006/pdf/imm6006.pdf

• https://neuro.compute.dtu.dk/wiki/AFINN - Brede Wiki entry on AFINN with pointers to many scientific papers
• https://github.com/darenr/afinn - Sentiment analysis in Javascript with AFINN word list
• https://github.com/prograils/afinn - Sentiment analysis in Ruby with AFINN word list