Prerequisite :
You must have python 3.7 or more installed on your system.
You must have Spyder, jupyter notebook or pycharm installed on your system. Spyder or jupyter notebook come up with anaconda. you just need to launch them after installing anaconda.
If you work on a colab no need to install python or Any other IDE, you need to just sign in with google colab.
What you’ll learn
How to read the text data using in python
How to preprocess the text data.
How to build the LSTM model to which can predict the next word
How to visualize the training and testing accuracy and loss of the model.
Problem Statement:
Next Word Prediction is the task of predicting what word comes next. It is one of the fundamental tasks of NLP and has many applications. You might be using it daily when you write texts or emails without realizing it.
Key highlights of projects or Essence
This project is about Natural Language processing
This project shows you how to read the text data and preprocess it.
This project shows you how to use the text data to build the next word prediction model using a LSTM deep learning algorithm .
At the end of the script will show you, predict the next word by giving an example.
Recommended projects:
Text Classification using Deep learning
Hate speech detection model
Fake news detection model
Movie review sentiment analysis
Spelling correction model
Skills:
Data Science, Machine Learning, Deep Learning, scikit-learn, pandas, Next word prediction
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