Work

Text classification: The case of multiple labels

Year: 2016

Type: conference-paper

Abstract: Analysis of subjectivity is the actively developed direction of research in text mining. The paper presents machine learning experiments on classification of sentiments in forum texts. We explore the difficult task of classification when texts are labeled by several sentiment labels and in this condition we reach the average F-measure equal to 0.805.

Source: International Conference on Communications (COMM)

DOI: 10.1109/iccomm.2016.7528314

Author: Victoria Bobicev

Institution: Technical University of Moldova

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2499807635

FWCI: 0.719

Cites: 18

Cited by: 7

Related to: 10