Extracting Domain-Specific Features for Sentiment Analysis Using Simple NLP Techniques: Running Shoes Reviews

10 pages•Published: November 28, 2016

Antonio Moreno-Ortiz, Chantal Pérez-Hernández and Cristian Gómez-Pascual

Abstract

This paper is a first attempt at designing a procedure to derive a domain-specific lexicon (both single words and multiword expressions) from an opinion corpus of specialized language. We use a corpus of reviews of running shoes as case study, compiled for this particular purpose. The main goal is to obtain a first approximation to the task of automatically extracting domain-specific expressions of sentiment to be used by our sentiment analysis software, Lingmotif.

Keyphrases: feature extraction, natural language processing, product reviews, running shoes, sentiment analysis

In: Antonio Moreno Ortiz and Chantal Pérez-Hernández (editors). CILC2016. 8th International Conference on Corpus Linguistics, vol 1, pages 298-307.

Links:	https://easychair.org/publications/paper/ppjg
	https://doi.org/10.29007/4kf5

BibTeX entry

@inproceedings{CILC2016:Extracting_Domain_Specific_Features,
  author    = {Antonio Moreno-Ortiz and Chantal Pérez-Hernández and Cristian Gómez-Pascual},
  title     = {Extracting Domain-Specific Features for Sentiment Analysis Using Simple NLP Techniques: Running Shoes Reviews},
  booktitle = {CILC2016. 8th International Conference on Corpus Linguistics},
  editor    = {Antonio Moreno Ortiz and Chantal Pérez-Hernández},
  series    = {EPiC Series in Language and Linguistics},
  volume    = {1},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5283},
  url       = {/publications/paper/ppjg},
  doi       = {10.29007/4kf5},
  pages     = {298-307},
  year      = {2016}}

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