Data Analysis

This tutorial will provide an introduction to using the Natural Language Toolkit (NLTK): a Natural Language Processing tool for Python. NLP is a field of computer science that focuses on the interaction between computers and humans. NLP techniques are used to analyze text, providing a way for computers to understand human language. A few examples of NLP applications include: automatic summarization, topic segmentation, and sentiment analysis.

The process of analyzing natural language and making sense out of it falls under the field of Natural Language Processing (NLP). In this tutorial, you will prepare a dataset of sample tweets from the NLTK package for NLP with different data cleaning methods. You will also train a model on pre-classified tweets and use the model to classify them into negative and positives sentiments.

This tutorial shows how to produce time series forecasts using the Prophet library in Python 3.