Sentiment Processing - NLP Model to Analyze Text Apk
Apk Infos
| Version | 1.0 |
| Rating | 3.9/5, based on 8 votes |
| Size | 3.1 MB |
| Requires Android | Android 4.1+ (Jelly Bean) |
| Author's Notes | Analyze text using this SP application which yields to POSITIVE/NEGATIVE/NEUTRAL |
About Sentiment Processing - NLP Model to Analyze Text APK
Table Of Contents
Description
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
Latest updates
What's new in version 1.0
Detailed Analysis in GraphHow to install Sentiment Processing - NLP Model to Analyze Text APK on Android phone or tablet?
Download Sentiment Processing - NLP Model to Analyze Text APK file from ApkClean, then follow these steps:
Update Phone Settings
- Go to your phone Settings page
- Tap Security or Applications (varies with device)
- Check the Unknown Sources box
- Confirm with OK
Go to Downloads
- Open Downloads on your device by going to My Files or Files
- Tap the APK file you downloaded (shah.rushabh.sentimentprocessing-v1.0-ApkClean.apk)
- Tap Install when prompted, the APK file you downloaded will be installed on your device.
Older Versions
| 1.0 (1) | 3.1 MB |
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