Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Credell Simeon"'
Publikováno v:
DSAA
We present a novel method for classifying hashtag types. Specifically, we apply word segmentation algorithms and lexical resources in order to classify two types of hashtags: those with sentiment information and those without. However, the complex st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f49d9f23d207a2901ba5e214cce63be
https://doi.org/10.1109/dsaa.2016.80
https://doi.org/10.1109/dsaa.2016.80
Autor:
Credell Simeon, Robert J. Hilderman
Publikováno v:
WASSA@EMNLP
This paper seeks to identify sentiment and non-sentiment bearing hashtags by com- bining existing lexical resources. By using a lexicon-based approach, we achieve 86.3% and 94.5% precision in identifying sentiment and non-sentiment hashtags, respecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7348a81c37ed35675a1eb15fd356256
https://doi.org/10.18653/v1/w15-2924
https://doi.org/10.18653/v1/w15-2924
Autor:
Credell Simeon, Robert J. Hilderman
Publikováno v:
Discovery Science ISBN: 9783319242811
Discovery Science
Discovery Science
Recently, there has been growing research interest in the sentiment analysis of tweets. However, there is still a need to examine the contribution of Twitter-specific features to this task. One such feature is hashtags, which are user-defined topics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba954a371bb18aca5b119fb1ffdaae57
https://doi.org/10.1007/978-3-319-24282-8_21
https://doi.org/10.1007/978-3-319-24282-8_21
