https://github.com/RobBlackwell/cl-sentiment.git
git clone 'https://github.com/RobBlackwell/cl-sentiment.git'
(ql:quickload :cl-sentiment)
cl-sentiment is a Common Lisp library that uses the AFINN-111 word list to perform sentiment analysis on arbitrary text.
Inspired by https://github.com/thisandagain/sentiment, it's particularly suited to looking at Twitter tweets.
The AFINN word list is by Finn Arup Nielsen available from http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010
You might also like to read his paper:
“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 718 in CEUR Workshop Proceedings : 93-98. 2011 May. http://arxiv.org/abs/1103.2903
The AFINN files are copyright protected and distributed under the terms of the Open Database License (ODbL) v1.0, http://www.opendatacommons.org/licenses/odbl/1.0/
cl-sentiment is now available via Quicklisp.
Use initialize to initialize cl-sentiment with the default sentiment word scores.
Call sentiment with some arbitrary text and it returns two values - the sentiment score and the comparative sentiment score. Positive values convey positive sentiment; negative values convey negative sentiment.
CL-USER> (ql:quickload "cl-sentiment")
...
CL-USER> (cl-sentiment:initialize)
#<HASH-TABLE :TEST EQUAL :COUNT 2477 {1003A54463}>
CL-USER> (cl-sentiment:sentiment "Cats are totally amazing!")
4
1
CL-USER>
Rob Blackwell
December 2012