SentimentAnalysis

Creating RNN models to predict the sentiment of tweets. Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. simple RNN, LSTM and stacked LSTM models have been used along with kerastuner in order to build an optimal model

techniques used

1.Data Cleaning

2.Data visualization

3.Text preprocessing

4.Word Embeddings

5.Deep Learning Modelling

algorithms used

1. Simple RNN

2. LSTM

3. stacked LSTM

Libraries/Tools require

1. Numpy

2. Pandas

3. nltk

4. re

5. Tensorflow

6. Keras

7. Scikit-Learn

8. Seaborn

9. MatplotLib