Abstract
Sentiment analysis of microblogs such as Twitter has recently
gained a fair amount of attention. One of the simplest sentiment
analysis approaches compares the words of a posting against a labeled
word list, where each word has been scored for valence, — a “sentiment
lexicon” or “affective word lists”. There exist several affective word lists,
e.g., ANEW (Affective Norms for English Words) developed before the
advent of microblogging and sentiment analysis. I wanted to examine
how well ANEW and other word lists performs for the detection of sentiment
strength in microblog posts in comparison with a new word list
specifically constructed for microblogs. I used manually labeled postings
from Twitter scored for sentiment. Using a simple word matching I show
that the new word list may perform better than ANEW, though not as
good as the more elaborate approach found in SentiStrength.
Original language | English |
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Title of host publication | Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages |
Publication date | 2011 |
Pages | 93-98 |
Publication status | Published - 2011 |
Event | 1st Workshop on Making Sense of Microposts : Big things come in small packages - Heraklion, Crete, Greece Duration: 30 May 2011 → 30 May 2011 Conference number: 1 |
Workshop
Workshop | 1st Workshop on Making Sense of Microposts |
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Number | 1 |
Country/Territory | Greece |
City | Heraklion, Crete |
Period | 30/05/2011 → 30/05/2011 |
Series | CEUR Workshop Proceedings |
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Number | 718 |