Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams-Reference-Cited by-同舟云学术

Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams

Published:2018-06-25 Issue: Volume: Page:
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Container-title:Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics
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Author:

Melidis Damianos P.¹,Campero Alvaro Veizaga¹,Iosifidis Vasileios¹,Ntoutsi Eirini¹,Spiliopoulou Myra²

Affiliation:

1. Leibniz University Hannover

2. Otto-von-Guericke-University, Magdeburg

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3227609.3227664

Reference22 articles.

1. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining;Baccianella Stefano;LREC,2010

2. Fast and Space-Efficient Entity Linking for Queries

3. A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product Reviews

4. John Cristian Borges Gamboa. 2017. Deep Learning for Time-Series Analysis. arXiv preprint arXiv:1701.01887 ( 2017). John Cristian Borges Gamboa. 2017. Deep Learning for Time-Series Analysis. arXiv preprint arXiv:1701.01887 ( 2017).

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