A METHOD FOR SENTIMENT ANALYSIS ON TWITTER IN BIG DATA SCALE

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Shaegan fard Mohammad Javad; Molanorouzi Mehrdad

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

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2019 | Issue:5

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Title

A METHOD FOR SENTIMENT ANALYSIS ON TWITTER IN BIG DATA SCALE

Author(s)

Shaegan fard Mohammad Javad | Molanorouzi Mehrdad

Keywords

SENTIMENT ANALYSIS

BIG DATA

TWITTER

WEB MINING

Abstract

TWITTER IS ONE OF THE MOST POPULAR SOCIAL NETWORKS NOWADAYS. PEOPLE SHARE THEIR IDEAS, COMMENTS AND FEELINGS ABOUT DIFFERENT SUBJECTS OF THEIR DAILY LIFE IN TWITTER. BECAUSE OF HUGE AMOUNT OF TWEET, TWITTER IS A SUITABLE DATABASE FOR BIG DATA AND THERE ARE MANY RESEARCH ON IT. ON THE OTHER HAND SENTIMENT ANALYSIS IN SOCIAL MEDIA IS VERY POPULAR AMONG RESEARCHERS RECENTLY. MOREOVER IT’ S RESULTS USE IN ECONOMICAL, SOCIAL AND POLITICAL SUBJECTS. IN THIS RESEARCH, WE ARE GOING TO REPRESENT AN APPROACH TO COLLECT DATA FROM TWITTER FIRST, THEN STORE AND ANALYZE DATA USING HADOOP FRAMEWORK AND A HYBRID MODEL THAT USE BAYES THEOREM AND DICTIONARY OF WORDS FOR SENTIMENT ANALYSIS. ACCORDING TO THE RESULTS OF EXPERIMENT ON DATA, THE ACCURACY OF THE PROPOSED APPROACH HAS REACHED TO 70 PERCENT.

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APA: Copy

Shaegan fard, Mohammad Javad, & Molanorouzi, Mehrdad. (2019). A METHOD FOR SENTIMENT ANALYSIS ON TWITTER IN BIG DATA SCALE. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949133/en

Vancouver: Copy

Shaegan fard Mohammad Javad, Molanorouzi Mehrdad. A METHOD FOR SENTIMENT ANALYSIS ON TWITTER IN BIG DATA SCALE. 2019. Available from: https://sid.ir/paper/949133/en

IEEE: Copy

Mohammad Javad Shaegan fard, and Mehrdad Molanorouzi, “A METHOD FOR SENTIMENT ANALYSIS ON TWITTER IN BIG DATA SCALE,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949133/en

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