A Clustering Analysis of Tweet Length and its Relation to Sentiment
Computation and Language
2015-02-19 v3 Information Retrieval
Social and Information Networks
Abstract
Sentiment analysis of Twitter data is performed. The researcher has made the following contributions via this paper: (1) an innovative method for deriving sentiment score dictionaries using an existing sentiment dictionary as seed words is explored, and (2) an analysis of clustered tweet sentiment scores based on tweet length is performed.
Keywords
Cite
@article{arxiv.1406.3287,
title = {A Clustering Analysis of Tweet Length and its Relation to Sentiment},
author = {Matthew Mayo},
journal= {arXiv preprint arXiv:1406.3287},
year = {2015}
}
Comments
6 pages