Read on Twitter
- Start of thread -
Wonder what the big 4 media houses in India tweeted in last 7 days. @ZeeNews @ndtv @IndiaToday @TimesNow.
Check out the thread which analyzed 9343 tweets, from 24 Sep 2020 01:05 UTC to 03 Oct 2020 00:00 UTC.
#India #NewsChannels #Analysis #NLP #tidytext -A
Wonder what the big 4 media houses in India tweeted in last 7 days. @ZeeNews @ndtv @IndiaToday @TimesNow.
Check out the thread which analyzed 9343 tweets, from 24 Sep 2020 01:05 UTC to 03 Oct 2020 00:00 UTC.
#India #NewsChannels #Analysis #NLP #tidytext -A
Lets start simple; bar charts of number of tweets by date & total retweetes & favorites received. -A
Okay, I see they tweet a lot.But, what are they tweeting about? This is based on term frequency-inverse document frequency on the corpus of all tweets from user. -A
How much often are these words being used relative to one another?. This is based on term frequency on the corpus of all tweets from user. A Word cloud. -A
Yeah, Anyone can tweet & #39;toothbrush& #39; 20 times! Okay, lets see only inportant words(cats <3) they are tweeting about.This is based on term frequency-inverse document frequency on the corpus of all tweets from user. A Word cloud. -A
Do you know, tweets with words which pick the emotional strings of reader were most retweeted & favorite. Check this out. Do you see & #39;cats& #39; in there? #NLP #IndiaNews #Analysis -A
I will add advanced NLP techniques in future. Drop your feedback in comments.
- End of thread - -A
- End of thread - -A
