An approach of sentiment analysis and product rating that is full-proved and implemented completely in project

1. By-
Nidhi Baranwal
MCA-5th sem

2. Project involves
• Shopping portal for some specific product (Smart phones)
• Make facility to comment
• Analyze the comment
• Do sentiment analysis using keywords
• Rate the product automatically using algorithm

3. Approach for Sentiment Analysis
• Make a dictionary type database
• Store keywords related to positive ,negative and neutral
sentiments
• Search the proper words in the comments given by the user
similar to that stored in the database
• Compare it with the keywords already stored in database to
find its polarity and corresponding polarity value

4. Algorithm for rating of the Product
1. Make a table having field ‘comment’, ‘point’, ‘temp’,
‘percent’, and ‘rate’ to store data
2. If “not rated”
2.1 search the keyword in comment and assign the point
correspondingly
2.2 convert it in percentage form and Put this value in ‘temp’
and ‘percent’ field
2.3 allot the rate value to ‘rate’ field on percentage basis
3. Else
3.1 search the keyword in comment and assign the point
correspondingly

5. Contd…
3.2 convert it in percentage form and take the previously stored
value of ‘temp’ which is float value and already in
percentage form
3.3 calculate the mean of both these values and assign it in
‘temp’ field
3.4 now find out specific value for mean value within range and
convert it in percent form
3.5 assign it in ‘percent’ field
3.6 allot the rate value to rate field on percentage basis

6. Implementation
• Fetch the comment
• Tokenize it
• Remove irrelevant and noisy data
• Feature extraction
• Opinion word extraction
• Opinion word polarity extraction
• Summary generation
• Scaling and rating

7. Technology used
• Front end- asp.net
• Back end- microsoft sql database
• Coding language- C#
• IDE- visual studio 2010
• Type- web application

8. Pictorial view

14. Scope
• This system is useful for the users who need reviews about
a product
• This system can be used with little investment and is
economically feasible
• This application also works as an advertisement which makes
many people aware about the product
• User can easily find out correct product for his usage