Summary of the paper

Title Annotating Opinions and Opinion Targets in Student Course Feedback
Authors Janaka Chathuranga, Shanika Ediriweera, Ravindu Hasantha, Pranidhith Munasinghe and Surangika Ranathunga
Abstract In this paper, we present a student course feedback corpus, a novel resource for opinion target extraction and sentiment analysis. The corpus is developed with the main aim of summarizing general feedback given by students on undergraduate-level courses. In this corpus, opinion targets, opinion expressions, and polarities of the opinion expressions towards the opinion targets are annotated. Opinion targets are basically the important key points in feedback that the students have shown their sentiment towards, such as “Lecture Slides”, and “Teaching Style”. The uniqueness of the corpus, annotation methodology, difficulties faced during annotating, and possible usages of the corpus are discussed in this paper.
Topics Opinion Mining / Sentiment Analysis, Text Mining, Corpus (Creation, Annotation, Etc.)
Full paper Annotating Opinions and Opinion Targets in Student Course Feedback
Bibtex @InProceedings{CHATHURANGA18.726,
  author = {Janaka Chathuranga and Shanika Ediriweera and Ravindu Hasantha and Pranidhith Munasinghe and Surangika Ranathunga},
  title = "{Annotating Opinions and Opinion Targets in Student Course Feedback}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  language = {english}
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