Work

Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets

Year: 2017

Type: conference-paper

Abstract: This paper describes our approach to the Emotion Intensity shared task.A parallel architecture of Convolutional Neural Network (CNN) and Long short term memory networks (LSTM) alongwith two sets of features are extracted which aid the network in judging emotion intensity.Experiments on different models and various features sets are described and analysis on results has also been presented.

Source: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA)

DOI: 10.18653/v1/w17-5226

Authors: Hardik Meisheri, Rupsa Saha, Priyanka Sinha, Lipika Dey

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2757814769

FWCI: 0.25

Cites: 27

Cited by: 4

Related to: 10