Opinion Mining For Comment Sentiment Analysis
Here we propose an advanced Comment Sentiment Analysis system that detects hidden sentiments in comments and rates the post accordingly. The system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Comment Sentiment Analysis is a web application which give
2025-06-28 16:34:22 - Adil Khan
Opinion Mining For Comment Sentiment Analysis
Project Area of Specialization Artificial IntelligenceProject SummaryHere we propose an advanced Comment Sentiment Analysis system that detects hidden sentiments in comments and rates the post accordingly. The system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Comment Sentiment Analysis is a web application which gives review of the topic that is posted by the user. The System takes comments of various users, based on the opinion, system will specify whether the posted topic is good, bad, or worst. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user comment is ranked. Once the user logins to the system, user can view his own status as well as he can view the topics posted by the admin. When the user clicks on a particular topic user can give his own comment about the topic. System will use database and will match the comment with the keywords in database and will rank the topic. User can edit his own profile and can change his profile picture. The role of the admin is to add post and adds keywords in database. This application can be used by users who like to post view about some events that is already held, or can post about the events that is going to be held. This application also works as an advertisement which makes many people aware about the topic posted. This system is also useful for the user’s who need review about their new idea. This system is also useful for the user’s who need review about any particular event that is posted.
Project ObjectivesThe objectives of the project are following
A framework is designed through which opinions from reviews of people and sentiments (positivity or negativity) around those opinions could be found.
The proposed framework is applied and realized as an application in which opinion mining and sentiment analysis of Facebook posts and comments of those posts are determined.
This application helps users to understand the sentiments discussed in a post, extracts the topics with their semantics and also brings up the entities which are under discussion by the reviewers.
Moreover, trend and behavior of reviewers can also be judged through the comment with its polarity with topics and entities.
Project Implementation Method- Admin Login: - Admin login’s to the system using his Admin ID and password.
- Add Post: - Admin can post topics.
- Add Keywords: - Admin add keywords in database so that system will match the comment with the keywords in database and will rank the topic.
- User Login: - User login’s to the system using his user ID and password.
- Comment: - User will post comment on the topic.
- View Comment: - User can view comment of other user’s.
- Rating Calculation: - System will match the comment with the keywords in database and will rate the topic.
- Edit Profile: - User can edit his profile and can change his profile picture.
- Status:- User can view status and can change his status.
- User can easily share his view about the topic.
- People can easily decide whether the topic posted is good or bad by using this application.
- This application is more useful for the users who love to comment.
- Since system ranks the topic based on the weight age of the keywords in database so the result is appropriate.
- This system is useful for the user’s who need review about their new idea.
- This system is also useful for the user’s who need review about any particular event that is posted.
- This application also works as an advertisement which makes many people aware about the topic posted.
- To evaluate proposed effectiveness of the design application based on the proposed framework a user study is performed.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 78600 | |||
| Thesis and publication | Miscellaneous | 2 | 5000 | 10000 |
| Android device for testing | Equipment | 1 | 31000 | 31000 |
| 4TB HDD for data collection | Equipment | 1 | 17800 | 17800 |
| ViewSonic VA1903h 19” HD | Equipment | 1 | 19800 | 19800 |