Since ages, humans can perceive, and act based on each other’s sentiments. In the current age of Internet and mobility, artificial intelligence makes it possible to know sentiments by utilizing massive datasets and information. Summing up, a huge amount of data and expertise is required to perform sentiment analysis even on a small scale.

The main aim of Sentilizer is to predict the sentiments from a sentence in a fast and efficient manner following the fundamentals of NLP and ensuring simplicity at its core. The application uses the basic concepts of NLP like word stemming and lemmatizing to predict the user's sentiments.

Sentilizer is built using the flutter SDK and uses many dart libraries and the sentiment_dart package by worldtrollfootball.wtf. The app has a unique design and a strong backend for ensuring reliable predictions. This application was built as a part of our engineering curriculum.

Developed with love by Yeshwin, Archana & Powel.

We are always excited to hear from you!
Write to us at [email protected]
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www.linkedin.com/in/archana-sahoo-ba6a7a1a5
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