Takes feeds from Twitter into R and the sentiment of the tweets is analysed and classified into positive, negative and neutral tweets.

System Requirements:

1. Installation of R

Steps:

Short Version - The codes are compiled into one file script_running.R

Longer Modular Version-
For easier understanding, the above code is modularized and must be learnt in following order-
Following are for lexical based twitter analyzer (Tweets to find sentiment about people)

1. authentication.R
2. tweet_extraction.R
3. Word Database.R
4. cleaning_data.R
5. emoticon.R
6. score_sentiment.R
7. func_on_tweet.R
8. graphs.R
9. Percentage.R
10. level_of_sentiment.R
11. Frequent hastags of user.R
12. Top tweeters and timeline of particular hashtag.R
13. wordcloud.R

For any further queries and difficulties that you face on executing any code, feel free to post it under the issue tab above and we will get back to you as soon as possible.