Work

Linguistically motivated Language Resources for Sentiment Analysis

Year: 2014

Type: conference-paper

Abstract: Computational approaches to sentiment analysis focus on the identification, extraction, summarization and visualization of emotion and opinion expressed in texts.These tasks require large-scale language resources (LRs) developed either manually or semi-automatically.Building them from scratch, however, is a laborious and costly task, and re-using and repurposing already existing ones is a solution to this bottleneck.We hereby present work aimed at the extension and enrichment of existing general-purpose LRs, namely a set of computational lexica, and their integration in a new emotion lexicon that would be applicable for a number of Natural Language Processing applications beyond mere syntactic parsing.

DOI: 10.3115/v1/w14-5806

Authors: Voula Giouli, Aggeliki Fotopoulou

Institutions: Institute for Language and Speech Processing, Athena Research and Innovation Center In Information Communication & Knowledge Technologies

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: European Commission

Awards: G3207356259, G393177772, G5702163051

OpenAlex ID: W2250333314