Website Evaluation Using Opinion Mining Test phase, srs, design phase and source code final deliverable
Information Retrieval
Abstract/ Preface
Opinion mining, or sentiment analysis, is a textbook analysis fashion that uses computational linguistics and natural language processing to automatically identify and prize sentiment or opinion from within textbook ( positive, negative, neutral,etc.). Website Evaluation system that rates the website grounded on the opinion of the stoner. Stored website (s) will be estimated grounded on factors similar fictitiousness of the website, timely delivery of the product after online sale and support handed by the website. Stoner will note about the website, grounded on the comment system will rate and rank the website. The system takes opinion of colorful druggies, grounded on the opinion; system will decide whether the website is genuine or not. The system uses opinion mining methodology in order to achieve asked functionality.
Operation inventor will use a database of sentiment grounded keywords along with positivity or negativity weight in database and also grounded on these sentiment keywords booby-trapped in stoner comment is ranked. The system contains keywords related to fraud, fictitiousness, timely delivery of the product and service parameters in the database. Grounded on these factors system will rate the website. With the help of this operation stoner can fluently find out which website will deliver the product in time, and also helps to find out website which will give good support. This operation helps to find out whether the website is genuine or not that’s useful for those druggies who do online deals.
The working of the system is follows-
• The stoner logins to the system he can view colorful websites posted by the admin and can note about the website.
• Stoner can see the comment of other stoner.
• System will rate the website grounded on the comment of colorful druggies.
• The part of the admin is to add colorful website to the system and to add keywords in database.
• So that system will match the comment with the keywords in database and will rate the website grounded on the sentiment analysis.
Functional Conditions
Admin Panel
1. Admin login’s to the system/ operation by using his/ her Admin ID and word.
2. Admin can post different motifs/ item discussion applicable to website.
3. Admin will also add colorfulE-Commerce grounded websites for druggies.
4. Admin will add list of keywords in database applicable to “ fraud, fictitiousness, timely delivery of the product and service” parameters.
Stoner Panel
1. Stoner login’s to the system/ operation by using his/ her stoner ID and word.
2. Stoner can edit his/ her profile details along with display picture.
3. Stoner will post commentary on the content/ website posted by the admin.
4. Stoner can also view comment of other druggies posted on some content/ website.
5. Druggies should be suitable to note on stored website/ content only formerly. The system stores each commentary of the druggies for farther processing and find out the sentiments and their weightage and store it in database.
6. The stored commentary of the druggies will be anatomized by the system. System will match the stoner comment with the keywords in database ( scholars will use sentiwordnet wordbook only for this task) and will rate/ rank the content and website.
7. Stoner can fluently decide whether the stored website (s) handed by the admin/ system are good, bad or worst grounded on sentiment bracket.
Stoner Restrictions
1. Druggies won’t be suitable to note further than formerly on any saved content/ website by the admin.
2. Druggies won’t be suitable to add any single content/ website ( Only admin will add it).
3. Druggies can not add any keywords in to the system.
Tools
SQL 2008
Visual Studio 2010
Senti Word Net Dictionary
Wamp Garçon
Note
1. SentiWordNet Dictionary will be used for sentiment bracket tasks only.
2. You may use any other platform for rendering in which you have command, but make sure all the mentioned FR’s should be fully enforced.