Message Sentimental Analyser for whatsapp
Our project Message Sentimental Analyzer is a tool that analysis an incoming message or feedback and tells whether that is positive, negative or neutral.
Project Title
Message Sentimental Analyser for whatsapp
Project Area of Specialization
Project Summary
Our project Message Sentimental Analyzer is a tool that analysis an incoming message or feedback and tells whether that is positive, negative or neutral.
Project Objectives
To design a very convenient embedded system that enables people to understand how others feel about their brand, product or services and thoughts.
Project Implementation Method
- Document Level:Obtains the sentiment of the document or paragraph.
- Sentence Level:Obtains the sentiment of a single sentence.
- Sub-sentence Level:Obtains the sub-expressions within a sentence.
Benefits of the Project
- There’s just too much data to process manually.Sentiment analysis allows to process data at scale in an efficient and cost-effective way.
- Sentiment analysis is to identify critical information that allows situational awareness during specific scenarios in real-time. Such as any critical information on social media or any negative feedback from the customer about the brand. So through this we can easily identify the situations and take actions
- Gives clear criteria for evaluating the sentiment piece of text, emails, chats, social media, surveys and articles. By using a centralized sentiment analysis system, companies can apply the same criteria to all of their data. This helps to reduce errors and improve data consistency.
Technical Details of Final Deliverable
Android Studio using Mobile App Development
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| mobile device | Equipment | 1 | 25000 | 25000 |
| Total in (Rs) | 25000 |
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