Social Analysis (SOAN using Python 3) Report

This post (Dated: 21 Apr 2020) is in continuation from this post Social Analysis (SOAN) of WhatsApp Chats (an NLP and Pandas application)
    
Following information could be deciphered from the chat history:

1: Top 20 users based on message count

    


2: Top 20 Users based on Word Count 

    

3: Line plots for "weekly number of messages by the users" 
Here only top 5 users are shown.

    

4: Weekly Number of Messages 

    

5: Growth in Total Number of Messages on Weekly Basis 

    
: Number of messages a user has sent on each week day 

Sunday: 326
Monday: 162
Thursday: 264
Friday: 348
Saturday: 405
Tuesday: 534
Wednesday: 157

: Line plot for messages sent in each hour 




: Number of messages sent by any user in each hour for the overall period of time 

[(0, 98),
 (1, 10),
 (2, 4),
 (3, 2),
 (8, 15),
 (9, 63),
 (10, 91),
 (11, 79),
 (12, 163),
 (13, 207),
 (14, 81),
 (15, 90),
 (16, 114),
 (17, 93),
 (18, 78),
 (19, 106),
 (20, 148),
 (21, 233),
 (22, 292),
 (23, 229)]
 
 

Tags: Technology,Natural Language Processing,