user387049
user387049

Reputation: 6857

Sentiment Analysis Dictionaries

I was wondering if anybody knew where I could obtain dictionaries of positive and negative words. I'm looking into sentiment analysis and this is a crucial part of it.

Upvotes: 55

Views: 70983

Answers (9)

stevec
stevec

Reputation: 52218

Sentiwords gives 155,000 words (and their polarity, that is, a score between -1 and 1 for very negative through to very positive). The lexicon is discussed here

Upvotes: 3

Techgeeks1
Techgeeks1

Reputation: 596

You can use vader sentiment lexicon

from nltk.sentiment.vader import SentimentIntensityAnalyzer

sentence='APPle is good for health'
sid = SentimentIntensityAnalyzer()
ss = sid.polarity_scores(sentence)  
print(ss)

it will give you the polarity of sentence.

output:

 {'compound': 0.4404, 'neu': 0.58, 'pos': 0.42, 'neg': 0.0}

Upvotes: 3

Stompchicken
Stompchicken

Reputation: 15931

The Sentiment Lexicon, at the University of Pittsburgh might be what you are after. It's a lexicon of about 8,000 words with positive/neutral/negative sentiment. It's described in more detail in this paper and released under the GPL.

Upvotes: 38

Kiara
Kiara

Reputation: 31

The Harvard-IV dictionary directory http://www.wjh.harvard.edu/~inquirer/homecat.htm has at least two sets of ready-to-use dictionaries for positive/negative orientation.

Upvotes: 3

user123
user123

Reputation: 5407

AFINN you can find here and also create it dynamically. Like whenever unknown +ve word comes add it with +1. Like banana is new +ve word and appearing twice then it will become +2.

As much articles and data you craws your dictionary would become stronger!

Upvotes: 4

rodobastias
rodobastias

Reputation: 121

Professor Bing Liu provide an English Lexicon of about 6800 word, you can download form this link: Opinion Mining, Sentiment Analysis, and Opinion Spam Detection

Upvotes: 12

ScienceFriction
ScienceFriction

Reputation: 1558

Arriving a bit late I'll just note that dictionaries have a limited contribution for sentiment analysis. Some sentiment bearing sentences do not contain any "sentiment" word - e.g. "read the book" which could be positive in a book review while negative in a movie review. Similarly, the sentiment word "unpredictable" could be positive in the context of a thriller but negative when describing the breaks system of the Toyota.

and there are many more...

Upvotes: 27

Fred Foo
Fred Foo

Reputation: 363487

This paper from 2002 describes an algorithm for deriving such a dictionary from text samples automatically, using only two words as a seed set.

Upvotes: 7

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