Natural language processing for sentiment analysis: an exploratory analysis on tweets

Wei Yen Chong; Bhawani Selvaretnam; Lay Ki Soon

doi:10.1109/ICAIET.2014.43

Natural language processing for sentiment analysis: an exploratory analysis on tweets

Wei Yen Chong, Bhawani Selvaretnam, Lay Ki Soon

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

58 Citations (Scopus)

Abstract

In this paper, we present our preliminary experiments on tweets sentiment analysis. This experiment is designed to extract sentiment based on subjects that exist in tweets. It detects the sentiment that refers to the specific subject using Natural Language Processing techniques. To classify sentiment, our experiment consists of three main steps, which are subjectivity classification, semantic association, and polarity classification. The experiment utilizes sentiment lexicons by defining the grammatical relationship between sentiment lexicons and subject. Experimental results show that the proposed system is working better than current text sentiment analysis tools, as the structure of tweets is not same as regular text.

Original language	English
Title of host publication	Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014
Editors	David Al-Dabass, Ismail Saad, Khairul Anuar Mohamad, Mohd Hanafi Ahmad Hijazi
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	212-217
Number of pages	6
ISBN (Electronic)	9781479979103
DOIs	https://doi.org/10.1109/ICAIET.2014.43
Publication status	Published - 2014
Externally published	Yes
Event	International Conference on Artificial Intelligence with Applications in Engineering and Technology 2014 - Kota Kinabalu, Sabah, Malaysia Duration: 2 Dec 2014 → 5 Dec 2014 Conference number: 4th https://ieeexplore.ieee.org/xpl/conhome/7347855/proceeding (Proceedings)

Conference

Conference	International Conference on Artificial Intelligence with Applications in Engineering and Technology 2014
Abbreviated title	ICAIET 2014
Country/Territory	Malaysia
City	Kota Kinabalu, Sabah
Period	2/12/14 → 5/12/14
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7347855/proceeding (Proceedings)

Keywords

Natural Language Processing
Sentiment Analysis
Tweets

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10.1109/ICAIET.2014.43

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Chong, W. Y., Selvaretnam, B., & Soon, L. K. (2014). Natural language processing for sentiment analysis: an exploratory analysis on tweets. In D. Al-Dabass, I. Saad, K. A. Mohamad, & M. H. A. Hijazi (Eds.), Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 (pp. 212-217). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICAIET.2014.43

Chong, Wei Yen ; Selvaretnam, Bhawani ; Soon, Lay Ki. / Natural language processing for sentiment analysis : an exploratory analysis on tweets. Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. editor / David Al-Dabass ; Ismail Saad ; Khairul Anuar Mohamad ; Mohd Hanafi Ahmad Hijazi. IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 212-217

@inproceedings{820842b2c42946d8a501c7b247dea4be,

title = "Natural language processing for sentiment analysis: an exploratory analysis on tweets",

abstract = "In this paper, we present our preliminary experiments on tweets sentiment analysis. This experiment is designed to extract sentiment based on subjects that exist in tweets. It detects the sentiment that refers to the specific subject using Natural Language Processing techniques. To classify sentiment, our experiment consists of three main steps, which are subjectivity classification, semantic association, and polarity classification. The experiment utilizes sentiment lexicons by defining the grammatical relationship between sentiment lexicons and subject. Experimental results show that the proposed system is working better than current text sentiment analysis tools, as the structure of tweets is not same as regular text.",

keywords = "Natural Language Processing, Sentiment Analysis, Tweets",

author = "Chong, {Wei Yen} and Bhawani Selvaretnam and Soon, {Lay Ki}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; International Conference on Artificial Intelligence with Applications in Engineering and Technology 2014, ICAIET 2014 ; Conference date: 02-12-2014 Through 05-12-2014",

year = "2014",

doi = "10.1109/ICAIET.2014.43",

language = "English",

pages = "212--217",

editor = "David Al-Dabass and Ismail Saad and Mohamad, {Khairul Anuar} and Hijazi, {Mohd Hanafi Ahmad}",

booktitle = "Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/7347855/proceeding",

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Chong, WY, Selvaretnam, B & Soon, LK 2014, Natural language processing for sentiment analysis: an exploratory analysis on tweets. in D Al-Dabass, I Saad, KA Mohamad & MHA Hijazi (eds), Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. IEEE, Institute of Electrical and Electronics Engineers, pp. 212-217, International Conference on Artificial Intelligence with Applications in Engineering and Technology 2014, Kota Kinabalu, Sabah, Malaysia, 2/12/14. https://doi.org/10.1109/ICAIET.2014.43

Natural language processing for sentiment analysis: an exploratory analysis on tweets. / Chong, Wei Yen; Selvaretnam, Bhawani; Soon, Lay Ki.
Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. ed. / David Al-Dabass; Ismail Saad; Khairul Anuar Mohamad; Mohd Hanafi Ahmad Hijazi. IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 212-217.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Natural language processing for sentiment analysis

T2 - International Conference on Artificial Intelligence with Applications in Engineering and Technology 2014

AU - Chong, Wei Yen

AU - Selvaretnam, Bhawani

AU - Soon, Lay Ki

N1 - Conference code: 4th

PY - 2014

Y1 - 2014

N2 - In this paper, we present our preliminary experiments on tweets sentiment analysis. This experiment is designed to extract sentiment based on subjects that exist in tweets. It detects the sentiment that refers to the specific subject using Natural Language Processing techniques. To classify sentiment, our experiment consists of three main steps, which are subjectivity classification, semantic association, and polarity classification. The experiment utilizes sentiment lexicons by defining the grammatical relationship between sentiment lexicons and subject. Experimental results show that the proposed system is working better than current text sentiment analysis tools, as the structure of tweets is not same as regular text.

AB - In this paper, we present our preliminary experiments on tweets sentiment analysis. This experiment is designed to extract sentiment based on subjects that exist in tweets. It detects the sentiment that refers to the specific subject using Natural Language Processing techniques. To classify sentiment, our experiment consists of three main steps, which are subjectivity classification, semantic association, and polarity classification. The experiment utilizes sentiment lexicons by defining the grammatical relationship between sentiment lexicons and subject. Experimental results show that the proposed system is working better than current text sentiment analysis tools, as the structure of tweets is not same as regular text.

KW - Natural Language Processing

KW - Sentiment Analysis

KW - Tweets

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U2 - 10.1109/ICAIET.2014.43

DO - 10.1109/ICAIET.2014.43

M3 - Conference Paper

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BT - Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014

A2 - Al-Dabass, David

A2 - Saad, Ismail

A2 - Mohamad, Khairul Anuar

A2 - Hijazi, Mohd Hanafi Ahmad

PB - IEEE, Institute of Electrical and Electronics Engineers

Y2 - 2 December 2014 through 5 December 2014

ER -

Chong WY, Selvaretnam B, Soon LK. Natural language processing for sentiment analysis: an exploratory analysis on tweets. In Al-Dabass D, Saad I, Mohamad KA, Hijazi MHA, editors, Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 212-217 doi: 10.1109/ICAIET.2014.43

Natural language processing for sentiment analysis: an exploratory analysis on tweets

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