इस सपा आवेदन जो करने के लिए सकारात्मक / नकारात्मक / तटस्थ पैदावार का उपयोग कर पाठ का विश्लेषण करें

User can analyze their input Text and can get to know the Sentiment of it in the form of POSITIVE | NEGATIVE | NEUTRAL Sentiment in Detail.

It gives the results in two forms :

1 - Abstract Form using Meter (Percentage and Highest Type of Sentiment)

2 - Detailed Form using Graph (Percentage of Individual Sentiment)

There are Tremendous amount of information stored in the TEXT form which can be used in efficient way for Meaningful Purpose. Using Deep Learning, NLP models are built for analyzing this TEXT to extract some useful information.

Sentiment analysis is another primary use case for NLP. Using sentiment analysis, data scientists can assess comments on social media to see how their business's brand performs.

This Application also includes information about the Natural Language Processing (NLP). This Application is meant for Educational Purpose. It is not for Commercial Use.

Android Permission Used:

1 - Access Internet

2 - Access Network Status