A part-of-speech-based exploratory text mining of students’ looking-back evaluation

Toshiro Minami, Sachio Hirokawa, Yoko Ohura, Kiyota Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In our lectures at universities, we observe that the students’ attitudes affects a lot to their achievements. In order to prove this observation based on data, we have been investigating to find effective methods that extract students’ attitudes from lecture data; such as examination score as an index to student’s achievement, attendance and homework data for his/her effort, and answer texts of the term-end questionnaire as information source of attitude. In this chapter, we take another approach to investigate the influences of words used in the answer texts of students on their achievements. We use a machine learning method called Support Vector Machine (SVM), which is a tool to create a model for classifying the given data into two groups by positive and negative training sample data. We apply SVM to the answer texts for analyzing the influences of parts of speech of words to the student’s achievement. Even though adjectives and adverbs are the same in the sense that they modify nouns and verbs, we found that adverbs affects much more than adjectives, as a result. From our experiences so far, we believe that analysis of answers to the evaluations of students toward themselves and lectures are very useful source of finding the students’ attitudes to learning.

    Original languageEnglish
    Title of host publicationAdvances in Natural Language Processing, Intelligent Informatics and Smart Technology - Selected Revised Papers from the 11th International Symposium on Natural Language Processing SNLP-2016 and the 1st Workshop in Intelligent Informatics and Smart Technology
    EditorsRachada Kongkachandra, Thepchai Supnithi, Thanaruk Theeramunkong
    PublisherSpringer Verlag
    Pages61-72
    Number of pages12
    ISBN (Print)9783319700151
    DOIs
    Publication statusPublished - Jan 1 2018
    Event11th International Symposium on Natural Language Processing, SNLP-2016 and 1st Workshop in Intelligent Informatics and Smart Technology, 2016 - Phranakhon Si Ayutthaya, Thailand
    Duration: Feb 10 2016Feb 12 2016

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume684
    ISSN (Print)2194-5357

    Other

    Other11th International Symposium on Natural Language Processing, SNLP-2016 and 1st Workshop in Intelligent Informatics and Smart Technology, 2016
    CountryThailand
    CityPhranakhon Si Ayutthaya
    Period2/10/162/12/16

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

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