Message Sentimental Analyser for whatsapp

Project Title

Message Sentimental Analyser for whatsapp

Project Area of Specialization Computer ScienceProject 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 Software SystemCore Industry ITOther Industries IT Core Technology Internet of Things (IoT)Other Technologies OthersSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	25000
mobile device	Equipment	1	25000	25000