TextMining

README
Ajit Chavhan
30/11/2020

Recommendation System Program to demonstrate the concept 

File Structure:
readme.txt
twittr_amzon_sentiments
Twitter_Amazon _Sentiment_Analysis
negative-words
positive-words
stop

Development Environment:
My script was developed RStudio Version 1.3.1056

Usage:
Install RStudio. Open file in RStudio and change the code according to you dataset for various situations and run it.


File Description 
twittr_amzon_sentiment- Script file in R language for text mining/sentiment analysis/word cloud 
Twitter_Amazon _Sentiment_Analysis- Report file which demonstrate my approach towards result for twitter and amazone review files 
stop- Text file of word which we want to filter out from twitter and amazone review files.
negative-words- Text file for nagative words. 
positive-words- Text file for positive words.

objective:- 

1) Extract tweets for any user (try choosing a user who has more tweets)

2) Perform sentimental analysis on the tweets extracted from the above

 

3) Extract reviews of any product from ecommerce website like amazon

4) Perform emotion mining






Note :- I have added some png files which are the different graphs on both the datasets for EDA and result observation purpose.