Build a semantic word analysis of the ENRON dataset with PYTHON
Data basis to be used for the analysis: https://www.kaggle.com/wcukierski/enron-email-dataset
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Step 1: build a python notebook on the basis of the work done by https://www.kaggle.com/zichen/explore-enron and try to reproduce their results
Step 2: The most important step: Generate a python code for listing which user uses which emoticons how often
Step 3: Please deliver the python code with comments
List of positive and negative emoticons.
Emoticon Meaning Sentiment Class
o:)- innocent Positive
:$ Happy blush Positive
>( Grumpy Negative
(@) Angry red Negative
X| Dead Negative
Attached: Relevant Papers for this work to be cited whenever possible (1. Buildingemotionaldictionaryforsentimentanalysisofonlinenews, 2. pone.0171649), and additional papers if fragments of their methods are used.