Sentiment Analysis of Social Networking Data Using Categorized Dictionary

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Singh Akansha; Sharma Aastha; Singh Krishna Kant; Dhull Anuradha

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

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Journal: Journal of Information Technology Management Year:2020 | Volume:12 | Issue:4 Page(s): 105-120

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Title

Sentiment Analysis of Social Networking Data Using Categorized Dictionary

Author(s)

Singh Akansha | Sharma Aastha | Singh Krishna Kant | Dhull Anuradha | Issue Writer Certificate

Keywords

Hadoop

Big data

HDFS

Map-Reduce

Facepager

Sentiment Analysis

Abstract

Sentiment Analysis is the process of analyzing a person’ s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task. In this paper, a method to improve the sentiment accuracy by utilizing the concept of categorized dictionary for sentiment classification and analysis is proposed. A categorized dictionary is developed for the sentiment classification and further calculation of sentiment accuracy. The concept of categorized dictionary involves the creation of dictionaries for different categories making the comparisons specific. The categorized dictionary includes words defining the positive and negative sentiments related to the particular category. It is used by the mapper reducer algorithm for the classification of sentiments. The data is collected from social networking site and is pre-processed. Since the amount of data is enormous therefore a reliable open-source framework Hadoop is used for the implementation. Hadoop hosts various software utilities to inspect and process any type of Big data. The comparative analysis presented in this paper proves the worthiness of the proposed method.

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APA: Copy

Singh, Akansha, Sharma, Aastha, Singh, Krishna Kant, & Dhull, Anuradha. (2020). Sentiment Analysis of Social Networking Data Using Categorized Dictionary. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 12(4), 105-120. SID. https://sid.ir/paper/677312/en

Vancouver: Copy

Singh Akansha, Sharma Aastha, Singh Krishna Kant, Dhull Anuradha. Sentiment Analysis of Social Networking Data Using Categorized Dictionary. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2020;12(4):105-120. Available from: https://sid.ir/paper/677312/en

IEEE: Copy

Akansha Singh, Aastha Sharma, Krishna Kant Singh, and Anuradha Dhull, “Sentiment Analysis of Social Networking Data Using Categorized Dictionary,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 12, no. 4, pp. 105–120, 2020, [Online]. Available: https://sid.ir/paper/677312/en

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