Sentimeter - Emotion recognition engine APK

Version 1.1.0 - com.aranke.priyank.sentimeter
aranke,priyank,sentimeter,social

Sentimeter uses machine learning to tell you the emotions that went into a text.

Sentimeter - Emotion recognition engine apk

APP Information

Download Version	1.1.0 (3)
Apk Size	45.22 MB
App Developer	Priyank Aranke
Malware Check	TRUSTED
Install on Android	6.0 and up
App Package	com.aranke.priyank.sentimeter.apk
MD5	7d0e57393cd83dff6e5bc005a6f2aed3
Rate	5

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Download Sentimeter - Emotion recognition engine 1.1.0 APK

Download APK File (45.22 MB) Get from Google Play

App Description

Sentimeter - Emotion recognition engine is aranke,priyank,sentimeter,social, content rating is Everyone (PEGI-3). This app is rated 5 by 1 users who are using this app. To know more about the company/developer, visit Priyank Aranke website who developed it. com.aranke.priyank.sentimeter.apk apps can be downloaded and installed on Android 6.0 and higher Android devices. The Latest Version of 1.1.0 Available for download. Download the app using your favorite browser and click Install to install the application. Please note that we provide both basic and pure APK files and faster download speeds than APK Mirror. This app APK has been downloaded 7+ times on store. You can also download com.aranke.priyank.sentimeter APK and run it with the popular Android Emulators.

Ever wondered what an ambiguous text message or DM really meant? Think that a tweet might contain hidden notes of love (or hate) but can't be sure?

Sentimeter is the answer. It is the only Android app out there to detect as many as 64 emotions in a message. Sentimeter uses cutting-edge machine learning technology to tell you what emotions (and how much of it) went into a text!

Sentimeter is simple: Just type or paste in a text message and hit go. Our natural language model crunches the numbers and gives you its expert opinion on what feelings influenced a text.

The Sentimeter model was trained on over 1.2 billion tweets, which gives it a nuanced understanding of human emotion (including sarcasm). So much so, that it outperforms humans on several benchmarks.

Credits:
1) B. Felbo et al. for the base sentiment model
2) Freepik from FlatIcon for the app logo

Note that the model has learned about language from the raw, uncurated expressions of individuals on social media. We do not endorse in any way the emotional interpretation that the model has of any particular content.