Innovative Technologies are being developed according to fulfilled peoples need. There was a time when new product launched in a single piece of Advertisement paper. And few people had access to see newspaper. Industries target those areas which have large amount of audiences. Example of celebrities
Sentiment Analysis
Innovative Technologies are being developed according to fulfilled peoples need. There was a time when new product launched in a single piece of Advertisement paper. And few people had access to see newspaper. Industries target those areas which have large amount of audiences. Example of celebrities they sponsored their stuff to them and pays large amount of money in order to promote their publicity. Televisions are also taking leads In terms of published individual products. Conclusion Is they have to pay to publicize their products. When it comes to Pakistan industry they are very weak in understanding people’s mindset and their interest that’s why their product fails to stable. So Pakistani organization invent product without getting customer knowledge and wishing their product get acceptance in market. By this strategy most of the audiences dislike their product and companies faces huge loss. So the product analysis application comes with up the solution where the user and company interact with each other virtually. The application allows company to publish their product online hassle free and can get audience reviews on the exchange of peoples opined. Through this companies/Organizations can correct or estimate their chances of product existence in the market. Organization can also set event meet up to highlight their products in front of audiences.
The main objective of this project is to provide single platform to the users and organizations by which they can easily interact virtually. By users comments, likes and Bar rating company can get the actual true response from the audiences either their products is getting audiences eyes or their idea/product is not going stable in the market.
Moreover the users can comment the products and explore the organizations upcoming product they can also get informed by company upcoming events. These are our following goals for our project:
The application will have both web and android interface. Android is just or user/audiences and web is for the companies. So the can easily interact and see what is running
The user can login and comment or individual products also they can rate Likes. The user can get the locations of company events by clicking the get location it will shoes the current location to the destination through google marks
The existing work on sentiment analysis can be classified from different points of views: technique used, view of the text, level of detail of text analysis, rating level, etc. From a technical point of view, we identified machine learning, lexicon-based, statistical and rule-based approaches. We use affin word file and then tokenize our comments then compare these tokens with our affin words and give marks to each word/token. While the lexicon based approach does not need any prior training in order to mine the data. It uses a predefined list of words, where each word is associated with a specific sentiment. Finally in the hybrid approach, the combination of both the machine learning and the lexicon based approaches have the potential to improve the sentiment classification performance. On considering the tools used for sentiments analysis, the most used tools for detecting the feelings polarity are Emoticons, LIWC, SentiStrength, SentiWordNet, SenticNet, Happiness Index, AFINN, PANAS-t, Sentiment140, NRC, EWGA and FRN. Sentiment analysis is used mainly in different fields such as marketing, political and sociological.
Over project is enable us to collect different review of peoples through their comments and we gather their emotions .By using these emotion we can predict the outcomes of incoming products .Motivations of Companies are that companies can get predictions of many users about their products through which they change their product and relaunch their products dummy on website and get comments of user again if they get true result then they will launch their product .In this way companies can estimate they outcomes of their emerging products.Motivation of users are that they can participate in making a product effective through comments.
Our project is a Innovative Technologies that are being developed according to people's need. There was a time when new products launched in a single piece of Advertisement paper. And few people had access to see newspapers. Industries target those areas which have large numbers of audiences. Example of celebrities they sponsored their stuff to them and paid large amounts of money in order to promote their publicity. Televisions are also taking leads In terms of published individual products. Conclusion Is they have to pay to publicize their products. When it comes to the Pakistan industry they are very weak in understanding people’s mindset and their interest that’s why their product fails to be stable. So Pakistani organizations invent products without getting customer knowledge and wishing their product gets acceptance in the market. By this strategy most of the audiences dislike their product and companies face huge loss. So the product analysis application comes up with the solution where the user and company interact with each other virtually
We use affin word file and then tokenize our comments then compare these tokens with our affin words and give marks to each word/token. While the lexicon based approach does not need any prior training in order to mine the data. It uses a predefined list of words, where each word is associated with a specific sentiment. Finally in the hybrid approach, the combination of both the machine learning and the lexicon based approaches have the potential to improve the sentiment classification performance. On considering the tools used for sentiments analysis, the most used tools for detecting the feelings polarity are Emoticons, LIWC, SentiStrength, SentiWordNet, SenticNet, Happiness Index, AFINN, PANAS-t, Sentiment140, NRC, EWGA and FRN. Sentiment analysis is used mainly in different fields such as marketing, political and sociological
we also develop mobile application for user only in which user can give comments for product and for the help of that comments the analysis graph made in the company panel.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Lenevo core i5 | Equipment | 1 | 30000 | 30000 |
| Dell latitude 630 | Equipment | 1 | 25000 | 25000 |
| travelling cost and material books pages etc | Equipment | 8 | 1500 | 12000 |
| Total in (Rs) | 67000 |
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