價格：免費
更新日期：2019-03-11
檔案大小：6.4M
目前版本：1.4
版本需求：Android 5.1 以上版本
官方網站：mailto:arorayash1998@gmail.com
Email：https://github.com/arora-yash/arora-yash.github.io/blob/master/Our%20Privacy%20Policy.html
聯絡地址：Agra
With the advances in technology about sentiment analysis and predictive analytics, it has opened many avenues for researchers and enterprises to understand human mental state better. We analyze the moods of persons based on their tweets. For eg:-
Through analyzing the mood is intricated task nowadays but we have endeavored to detect human mood by using IBM Watson tone analyzer tool.
We have classified moods in seven categories:-
1.Analytical
2.Anger
3.Confident
4.Fear
5.Joy
6.Sad
7.Tentative
Based on the above categories we have suggested measures to soothe or calm down the mood of the person by suggesting some multimedia like songs/images/videos and some suggestions, jokes.
How it works
• Take the user handle as input.
• Extract daily tweets from the twitter account.
• Passing them to IBM Watson tone analyzer.
• Analyzes mood of that person.
Applications
• Can play a major role in improving one’s health.
• Encouraging person by providing him motivational quote according to mood.
• To overcome the negative moods.
• Organizations can detect which customer are satisfied & which aren’t with their service & organization can do best for them.
• Can act as a psychologist.