It is a Sentiment analysis of some cosmetic products which is used to analyze raw text to drive objective quantitative results using Natural Language Processing and Machine Learning. It is used to detect positive or negative sentiment in text, and often use it to grow the businesses reputation among
Cosmetics Sentiment Shop
It is a Sentiment analysis of some cosmetic products which is used to analyze raw text to drive objective quantitative results using Natural Language Processing and Machine Learning. It is used to detect positive or negative sentiment in text, and often use it to grow the businesses reputation among their customers. To meet the customer’s satisfaction about the product that they want to purchase. So, we propose an advanced Sentiment Analysis for Product rating system through their website that detects hidden sentiments in comments and rates the product based on them. The user can easily find the right product for their needs. Now, a lot of people make their buying decision about a product based on that product rating or reviews. Because of this, e-commerce web-based applications are mostly focused on product rating to improve their sales and profits. The negative and Positive product comments are responsible to generate positive and negative sentiments to user’s buying mentality and to create their trust towards that product. Cosmetics products are used as face care to enhance beauty. A product can elicit a range of customer's emotion, including both positive and negative feelings. Many beauty product users are sharing their experiences in order to help other consumers find the right products to buy and to review the products. In order to achieve the desired functionality, the system employs sentiment analysis concepts.
After designing it Implementation method will be started, then an Ecommerce website by React Web App will be developed, Mobile Application by React native Mobile App with python Flask backend and Sentiment Analysis will be done by using Machine Learning Algorithm, NLP, Graphic Card (Gigabyte Nvidia GeForce GTX 1650 OC 4GB GV-N1650OC-4GD) will be used to run large amount of data. Google Console Account is needed to run an application on Play Store. EasyPaisa Plug-ins will be used for payment.
| Website |
|
| Mobile App |
|
| Rating Feature |
|
Website
Mobile App
Rating Feature
| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Requirement gathering | project plan |
| Month 2 | SRS document | UML diagram & ERD |
| Month 3 | Prototyping & Designing | Web App & UI design Mobile App prototype & design |
| Month 4 | Database Development | Database |
| Month 5 | Web App development Module 1and database integration | Developed Web App Module 1 and database integration |
| Month 6 | Web App development Module 2 | Developed Web App |
| Month 7 | Mobile App development Module 1and database integration | Developed Mobile App Module 1 and database integration |
| Month 8 | Mobile App development Module 2 | Developed Mobile App |
| Month 9 | Integrate Web App & Mobile App | Integrated Project |
| Month 10 | Testing | Tested Project |
| Month 11 | Deployment | Web & Mobile App Deployed |
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