Sentiment Analysis with Deep Learning and FastAi

Applying Deep Learning on text data to predict sentiment analysis

Photo by K I L I A N 📷 on Unsplash

Sentiment Analysis is the process to identify and extract subjective information from text files for determining the emotional tone behind a series of words, used to gain an understanding of the opinions and emotions expressed in text.

In this post, I will explain how we extract text data to predict sentimental analysis. Here we have used Movie review dataset to explain how FastAi works for Sentimental analysis problem.

Lets look at the data

Let’s have a look on the overview of data and know the data types of each features, to understand the importance of features.
For this problem, our target values have 5 different values as follows :
0 — negative
1 — somewhat negative
2 — neutral
3 — somewhat positive
4 — positive