Can Sentiment in our Words be Quantified? An Introduction to Lingmotif, a Sentiment Analysis Software Tool and its Educational Application

Javier Fernández-Cruz

Abstract


In this paper, we present a concise introduction to Sentiment Analysis. We introduce a multilingual lexicon-based SA application, Lingmotif, developed by the Tecnolengua team at the Universidad de Málaga (Spain). Lingmotif is a lexicon-based, multi-platform desktop application for Sentiment Analysis. This software detects sentiment-laden words and multi-word expressions and returns a detailed analysis of its sentiment. In this paper, we provide a description of the tool’s interface along with a brief proposal for its application in education and English Language Teaching.

Keywords: Sentiment analysis; opinion mining; Natural Language Processing; education; discourse analysis; digital humanities


Full Text:

PDF

References


Bednarek, M. (2008). Evaluation in media discourse: analysis of a newspaper corpus. London: Continuum.

Besnier, N. (1993). Reported speech and affect on Nukulaelae Atoll. Responsibility and Evidence in Oral Discourse, 161–181.

Carbonell, J. G. (1979). Subjective Understanding: Computer Models of Belief Systems. Yale University, New Haven.

Halliday, M. A. K. (1985). An introduction to functional grammar. London ; Baltimore, Md., USA: E. Arnold.

Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1–2), 1–135.

Pawar, A. B., Jawale, M. A., & Kyatanavar, D. N. (2016). Fundamentals of Sentiment Analysis: Concepts and Methodology. In W. Pedrycz & S.-M. Chen (Eds.), Sentiment Analysis and Ontology Engineering (Vol. 639, pp. 25–48). Cham: Springer International Publishing.

Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1), 1–167.

Lyons, J. (1977). Semantics (vols I & II). Cambridge, UK: CUP.

Moreno-Ortiz, A. (2017a). Lingmotif: A User-focused Sentiment Analysis Tool. Procesamiento de Lenguaje Natural, 58.

Moreno-Ortiz, A. (2017b). Lingmotif: Sentiment Analysis for the Digital Humanities. Presented at the Proceedings of the EACL, Valencia, Spain.

Moreno-Ortiz, A. (2016a). Lingmotif (Version 1.0) [Linux]. Málaga (Spain): Universidad de Málaga. Retrieved from http://tecnolengua.uma.es/lingmotif

Moreno-Ortiz, A. (2016b). Extracting Domain-Specific Features for Sentiment Analysis Using Simple NLP Techniques: Running Shoes Reviews. Presented at the Congreso Internacional de Lingüística de Corpus 2016, Málaga.

Siemens, G., & d Baker, R. S. (2012, April). Learning analytics and educational data mining: towards communication and collaboration. In Proceedings of the 2nd international conference on learning analytics and knowledge (pp. 252-254). ACM.

Wen, M., Yang, D., & Rosé, C. P. (2014). Linguistic reflections of student engagement in massive open online courses. In the Eighth International Conference on Weblogs and Social Media. Palo Alto, California.


Refbacks

  • There are currently no refbacks.