Weighting of noun phrases based on local frequency of nouns

Yasuhiro Yamada, Yuusuke Himeno, Tetsuya Nakatoh

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

    2 Citations (Scopus)

    Abstract

    The tf-idf is a well-known weighting measure for words in texts. It measures both the frequency and the locality of words. It is often used for information retrieval and text mining. However, a lot of infrequent words have the same tf-idf value. In this study, the words are noun phrases. This paper proposes a novel weighting measure for noun phrases in texts by using the local frequency of nouns that construct a noun phrase. The proposed measure is calculated by combining the tf-idf of a noun phrase and the average of the difference between its frequency and the frequency of nouns within the phrase. The proposed measure was evaluated in experiments on the datasets of 19,997 newsgroup texts written in English and 206 Wikipedia pages written in Japanese. The experiments showed that the number of noun phrases with the same proposed measure is less than the number of noun phrases with the same tf-idf.

    Original languageEnglish
    Title of host publicationRecent Advances on Soft Computing and Data Mining - Proceedings of the 3rd International Conference on Soft Computing and Data Mining SCDM 2018
    EditorsJemal H. Abawajy, Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi
    PublisherSpringer Verlag
    Pages436-445
    Number of pages10
    ISBN (Print)9783319725499
    DOIs
    Publication statusPublished - 2018
    Event3rd International Conference on Soft Computing and Data Mining, SCDM 2018 - Johor, Malaysia
    Duration: Feb 6 2018Feb 8 2018

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume700
    ISSN (Print)2194-5357

    Other

    Other3rd International Conference on Soft Computing and Data Mining, SCDM 2018
    Country/TerritoryMalaysia
    CityJohor
    Period2/6/182/8/18

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

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