Work

UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features

Year: 2015

Type: conference-paper

Abstract: This paper describes the UNIBA team participation in the Sentiment Analysis in Twitter task (Task 10) at SemEval-2015.We propose a supervised approach relying on keyword, lexicon and micro-blogging features as well as representation of tweets in a word space.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/s15-2099

Authors: Pierpaolo Basile, Nicole Novielli

Institution: University of Bari Aldo Moro

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2167307309

FWCI: 1.502

Cites: 22

Cited by: 13

Related to: 10