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Responsive Blog Post’s Opinion Mining Sentiment Analysis System

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300.00$ 200.00$

Project Domain / Category

Project Domain/Category
Web Application

Introduction
Here we propose a sentiment analysis mining system that detects hidden sentiments and rate that particular post accordingly. Based on these comments system will recognize the sentiments in every user’s comments and based on these sentiments it rate the comment whether this post is good, bad or worse. Firstly, it extract the sentiment from the particular comment then this system will use a database of keywords along with positive and negative weight then based on these sentiment keywords mined in user’s comment is ranked. User can visit any blog post and read admin or other user’s comments without login but if user want to comment on any particular post then user must be login first. User’s comment will match with the keywords in database and will rank the topic. User can edit his profile, profile picture and password. The role of admin is to add sentiment’s keyword, delete any users and comments. This system will generate a sentiment reports of a particular post’s comments in table form. This system is very useful to get idea of people’s thinking about any idea, product or movie.

Functional Requirements

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. This only be visible to admin only.
Edit Profile: – User can edit his profile and can change his profile picture.
Status:- User can view status and can change his status.

Tools:
Windows 7 or Windows 10
Bootstrap
HTML, CSS
Php or asp.net
Mysql or any database

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