Tweet Sentiment Analysis using RNN and LSTM
Sentiment analysis refers to the idea of predicting the sentiment ( happy, sad, neutral) from a particular text. In this blog, I will be performing sentiment analysis on a large real-world dataset by applying techniques of NLP(Natural Language Processing).
I am taking my data from the “Sentiment140” dataset available in Kaggle. It has around 1.6 million tweets that have been extracted. You can access the dataset here: dataset. The annotations or labels for the tweets are as follows:
0 = negative
4 = positive
Authors
Farheen
Full stack Data Scientist
Hi, I'm Farheen!
1.Python
2.Machine Learning
3.Deep Learning
4.Data Science
5.Power Bi
6.Tableau
