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 data using in python
How to Perform the Exploratory data analysis and Visualize the data.
How to highlight the popular words
How to visualize the training and testing accuracy and loss of the model.
Problem Statement:
In this project perform the Exploratory data analysis and implement a twitter sentiment analysis model that helps to overcome the challenges of identifying the sentiment of the tweets.
Key highlights of projects or Essence
This project is about Exploratory data analysis and sentiment analysis with classification.
This project shows you how to read the data, text data and preprocess it.
This project shows you how to use the text data sentiment analysis.
This project shows you how to highlight the popular words based on frequency using word clouds.
At the end of the script will show you build the machine learning model to predict the sentiment.
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, scikit-learn, pandas, Sentiment analysis
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