Identification of item features in microblogging data

Shih Ting Huang, Pei Shu Li, Hung-Yu Kao

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

Abstract

In recent years, microblogging services have become very popular. The larger volume of real-time information generated by millions of users, more important to extract useful information from the microblogging services will be. In this work, we want to use opinion mining to find the relevant and significant features of items from the microblogging services, like Twitter. We construct a sentiment-based framework to identify the relevant features in microblogging. Our method consists of two stages. First, the data process stage processes the raw data from microblogging services. Then, in second stage we extract the relevant features by the sentiment characteristics from these messages and utilize these extracted features to construct the relevant feature network and group them according their concepts relations. Therefore, our system could be applied for knowing the characteristics of a product quickly and explicitly. In our experiments, our system can identify the popular item features in different domains effectively and the same concept features can cluster together in small groups.

Original languageEnglish
Title of host publicationTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages396-403
Number of pages8
ISBN (Electronic)9781467396066
DOIs
Publication statusPublished - 2016 Feb 12
EventConference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan
Duration: 2015 Nov 202015 Nov 22

Publication series

NameTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence

Other

OtherConference on Technologies and Applications of Artificial Intelligence, TAAI 2015
CountryTaiwan
CityTainan
Period15-11-2015-11-22

Fingerprint

Experiments

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

Cite this

Huang, S. T., Li, P. S., & Kao, H-Y. (2016). Identification of item features in microblogging data. In TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence (pp. 396-403). [7407082] (TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2015.7407082
Huang, Shih Ting ; Li, Pei Shu ; Kao, Hung-Yu. / Identification of item features in microblogging data. TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 396-403 (TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence).
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abstract = "In recent years, microblogging services have become very popular. The larger volume of real-time information generated by millions of users, more important to extract useful information from the microblogging services will be. In this work, we want to use opinion mining to find the relevant and significant features of items from the microblogging services, like Twitter. We construct a sentiment-based framework to identify the relevant features in microblogging. Our method consists of two stages. First, the data process stage processes the raw data from microblogging services. Then, in second stage we extract the relevant features by the sentiment characteristics from these messages and utilize these extracted features to construct the relevant feature network and group them according their concepts relations. Therefore, our system could be applied for knowing the characteristics of a product quickly and explicitly. In our experiments, our system can identify the popular item features in different domains effectively and the same concept features can cluster together in small groups.",
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Huang, ST, Li, PS & Kao, H-Y 2016, Identification of item features in microblogging data. in TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence., 7407082, TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, Institute of Electrical and Electronics Engineers Inc., pp. 396-403, Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015, Tainan, Taiwan, 15-11-20. https://doi.org/10.1109/TAAI.2015.7407082

Identification of item features in microblogging data. / Huang, Shih Ting; Li, Pei Shu; Kao, Hung-Yu.

TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence. Institute of Electrical and Electronics Engineers Inc., 2016. p. 396-403 7407082 (TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence).

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

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Huang ST, Li PS, Kao H-Y. Identification of item features in microblogging data. In TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence. Institute of Electrical and Electronics Engineers Inc. 2016. p. 396-403. 7407082. (TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence). https://doi.org/10.1109/TAAI.2015.7407082