Automatic stopword generation using contextual semantics for sentiment analysis of Twitter

CEUR Workshop Proceedings

Volumn 1272, Issue , 2014, Pages 281-284

  Saif, Hassan ^a   Fernandez, Miriam ^a   Alani, Harith ^a  

^a OPEN UNIVERSITY   (United Kingdom)

Author keywords

Contextual semantics; Sentiment analysis; Stopwords; Twitter

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; SOCIAL NETWORKING (ONLINE);

CONTEXTUAL SEMANTICS; EVALUATION RESULTS; FEATURE SPACE; SEMANTIC APPROACH; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; STOPWORDS; TWITTER;

SEMANTIC WEB;

EID: 84921844405     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Ayral, H., Yavuz, S.: An automated domain specific stop word generation method for natural language text classification. In: International Symposium on Innovations in Intelligent Systems and Applications (INISTA) (2011)
2. Lo, R.T.W., He, B., Ounis, I.: Automatically building a stopword list for an information retrieval system. In: Journal on Digital Information Management: Special Issue on the 5th Dutch-Belgian Information Retrieval Workshop (DIR) (2005)
3. Rijsbergen, C.J.V.: Information Retrieval. Butterworth-Heinemann, Newton, MA, USA, 2nd edn. (1979)
4. Saif, H., Fernandez, M., He, Y., Alani, H.: Evaluation datasets for twitter sentiment analysis a survey and a new dataset, the sts-gold. In: Proceedings, 1st ESSEM Workshop. Turin, Italy (2013)
5. Saif, H., Fernandez, M., He, Y., Alani, H.: On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter. In: Proc. 9th Language Resources and Evaluation Conference (LREC). Reykjavik, Iceland (2014)
6. Saif, H., Fernandez, M., He, Y., Alani, H.: Senticircles for contextual and conceptual semantic sentiment analysis of twitter. In: Proc. 11th Extended Semantic Web Conf. (ESWC). Crete, Greece (2014)
7. Saif, H., He, Y., Alani, H.: Alleviating data sparsity for twitter sentiment analysis. In: Proc. 2nd Workshop on Making Sense of Microposts (#MSM2012). Layon, France (2012)
8. Saif, H., He, Y., Alani, H.: Semantic sentiment analysis of twitter. In: Proceedings of the 11th international conference on The Semantic Web. Boston, MA (2012)
9. Turney, P.D., Pantel, P., et al.: From frequency to meaning: Vector space models of semantics. Journal of artificial intelligence research 37(1), 141-188 (2010)