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https://github.com/fazledyn/undergraduate-thesis
This repository contains my undergraduate thesis done at Department of CSE, BUET
https://github.com/fazledyn/undergraduate-thesis
bangla-nlp banglabert crowdtangle food-review sentiment-analysis social-media-analysis
Last synced: about 2 months ago
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This repository contains my undergraduate thesis done at Department of CSE, BUET
- Host: GitHub
- URL: https://github.com/fazledyn/undergraduate-thesis
- Owner: fazledyn
- Created: 2023-09-15T14:37:05.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2023-09-15T14:41:23.000Z (over 1 year ago)
- Last Synced: 2024-03-17T14:01:16.994Z (10 months ago)
- Topics: bangla-nlp, banglabert, crowdtangle, food-review, sentiment-analysis, social-media-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 28.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Interaction and Natural Language Processing Based Sentiment Analysis of Bangla Food Review in Social Media
Author: Ataf Fazledin Ahamed (1705066 at ugrad.cse.buet.ac.bd)
Supervisor: Dr. Sadia Sharmin (sadia at cse.buet.ac.bd)
## Acknowledgement
We are thankful to our advisor, Dr. Sadia Sharmin for her continuous support in our related
research. Her guidance and motivation during our research have been an inspiration
as well as a factor of courage. We are grateful to her for her enthusiasm, guidance, and
most importantly, her confidence in us.
We would also like to thank all the board members of our B.Sc. thesis defense for their
valuable feedback and profound observations of our work shared during the thesis defense
presentation.
Our heartful thanks go to our classmates and seniors who have helped us during our
research. Whether it may be answering a question or giving suggestions based on their
experience, we found their support with us in this journey.
## Abstract
With the increasing availability of the internet and mobile devices, more and
more people are connecting to social media. Social media has evolved from a simple
way of connecting with friends and family to a global village. It now presents itself
as a medium of entertainment, a news platform, a marketplace, and a place for
advertisement. Users are nowadays attracted by social media content. In this
study, we have focused on the food review-related contents of social media and
performed sentiment analysis. During this study, we collected Bangla food reviews
and related comments from popular Facebook pages. We have used CrowdTangle,
a social media analytics tool to collect data from social media pages and used a
scoring system based on reactions. Later on, we used Natural Language Processing
to classify the collected comments and compared the results to the scoring system.
Our study shows a high tendency for positive sentiments in food reviews
## Content Tree
```
├───banglabert-files
│ └───outputs
├───datasets
│ ├───facebook
│ │ ├───khudalagse
│ │ │ ├───csv
│ │ │ └───pred
│ │ ├───metroman
│ │ │ ├───csv
│ │ │ └───pred
│ │ ├───petuk-couple
│ │ │ ├───csv
│ │ │ └───pred
│ │ ├───rafsan
│ │ │ ├───csv
│ │ │ └───pred
│ │ └───zoltanbd
│ │ ├───csv
│ │ └───pred
│ ├───preprocess
│ │ └───SentNoB Dataset
│ └───training
├───src
│ ├───notebooks
│ └───scripts
└───thesis-book
├───presentation (thesis defense)
└───source (latex files)
```