Build a semantic word analysis of the ENRON dataset with PYTHON

    0

    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

    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
    😀    Laughing    Positive
    🙂    smile    Positive
    o:)-    innocent    Positive
    😎    cool    Positive
    :$    Happy blush    Positive
    🙁    defeated    Negative
    🙁    Crying    Negative
    😮    shocked    Negative
    >(    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.

                                                                                                                                      Order Now