Social Media Sentiment Analysis - Twitter

This project gives a method for sentiment analysis specifically aimed to work with Twitter data (tweets), to consider their length, structure and specific language. The method employed makes it able to process tweets in near real time. A large amount of online data, rich web resources are highly...

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Main Author: MOHAMED SHAHID, AFIQA
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20663 /
Published: Universiti Teknologi PETRONAS 2020
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://utpedia.utp.edu.my/20663/1/Afiqa%20binti%20Mohamed%20Shahid.pdf
http://utpedia.utp.edu.my/20663/
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id utp-utpedia.20663
recordtype eprints
spelling utp-utpedia.206632021-09-06T09:19:04Z http://utpedia.utp.edu.my/20663/ Social Media Sentiment Analysis - Twitter MOHAMED SHAHID, AFIQA QA75 Electronic computers. Computer science This project gives a method for sentiment analysis specifically aimed to work with Twitter data (tweets), to consider their length, structure and specific language. The method employed makes it able to process tweets in near real time. A large amount of online data, rich web resources are highly unstructured plus such natural language are not resolvable via machine straightforwardly. The increased demand to capture opinions of the public concerning sales of a product has led to study of the field sentiment analysis and opinion mining. Opinion refers to the extraction of lines in raw data which expresses an opinion. Sentiment analysis classifies polarity of extracted sentiments into positive, negative and neutral. This type of analysis commonly applies to analyze the service or product reviews, voice of the purchaser, survey responses from social media feeds and online to analyze the attitude of the client. A dashboard has been created to know the opinion regarding sales of the product whether it has more positive, negative or neutral number. This project will help the product owner to know opinion and thoughts of the social media user about their product. Universiti Teknologi PETRONAS 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20663/1/Afiqa%20binti%20Mohamed%20Shahid.pdf MOHAMED SHAHID, AFIQA (2020) Social Media Sentiment Analysis - Twitter. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
MOHAMED SHAHID, AFIQA
Social Media Sentiment Analysis - Twitter
description This project gives a method for sentiment analysis specifically aimed to work with Twitter data (tweets), to consider their length, structure and specific language. The method employed makes it able to process tweets in near real time. A large amount of online data, rich web resources are highly unstructured plus such natural language are not resolvable via machine straightforwardly. The increased demand to capture opinions of the public concerning sales of a product has led to study of the field sentiment analysis and opinion mining. Opinion refers to the extraction of lines in raw data which expresses an opinion. Sentiment analysis classifies polarity of extracted sentiments into positive, negative and neutral. This type of analysis commonly applies to analyze the service or product reviews, voice of the purchaser, survey responses from social media feeds and online to analyze the attitude of the client. A dashboard has been created to know the opinion regarding sales of the product whether it has more positive, negative or neutral number. This project will help the product owner to know opinion and thoughts of the social media user about their product.
format Final Year Project
author MOHAMED SHAHID, AFIQA
author_sort MOHAMED SHAHID, AFIQA
title Social Media Sentiment Analysis - Twitter
title_short Social Media Sentiment Analysis - Twitter
title_full Social Media Sentiment Analysis - Twitter
title_fullStr Social Media Sentiment Analysis - Twitter
title_full_unstemmed Social Media Sentiment Analysis - Twitter
title_sort social media sentiment analysis - twitter
publisher Universiti Teknologi PETRONAS
publishDate 2020
url http://utpedia.utp.edu.my/20663/1/Afiqa%20binti%20Mohamed%20Shahid.pdf
http://utpedia.utp.edu.my/20663/
_version_ 1741195651822125056
score 11.62408

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