Opinion Mining For Social Networking Site

This system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Social Networking Site is a web application. Here the user will post his views related to some subject other users will view this post and will comment on this post. The System takes comments of various users, based on the opinion, system will specify whether the posted topic is good, bad, or worst. User can change his own profile picture and can update his status. These changes can be viewed by various users.

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 other users. 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.

This project helps the users to make good decisions regarding buying or selling of valuable property. Prior to this online system this process involved a lot of travelling costs and searching time. Due to this system the user now does not have to travel much and can look for the property it is searching for, online according to its requirements. This system includes property details like Address, space measurement(sq ft), number of BHKs, Floor, Property Seller name and its contact number plus email-id. The user can search property depending on the area that it wants in, number of wash rooms, bedrooms, halls and kitchen.

The system contains an algorithm that calculates loan that the user can take plus 20%-30% cash that the user has to pay. This system allows the admin to enter details about any property that it is wishing for. The admin can even delete the property details. Thus this system eliminates cost to a great extent and also reduces searching time. With the help of this system the user can get the property details depending on its preferences. Thus this system also helps to maintain good relationship between the buyers and the sellers of the property.