I'm developing a strategy as a MSc project. I will be monitoring, collecting, and analyzing the data from Twitter profiles (tweets, re-tweets, mentions, and public tweets containing one/two keywords only). I don't know what to start with .I am using R and its twitterR library , I have made the first part which is the authentication using OAuth .Any suggestions would be great , should I search for tweets for a keyword then get the info of the users tweeting about the topic. I know I would use methods in REST API and Streaming but what to start with the tweets or the user information and how ?
Thanks
You can use python for this particular task. Python has a great library called "Tweepy" which allows anyone with access token to download a particular tweeter user's tweets and also most recent tweets matching a certain provided keyword.
This link may help,
https://gist.github.com/yanofsky/5436496
And also first try to get tweets containing certain keywords then get the info of users tweeting. This might save a lot of time.
Ok , thank you so much I was going to use R so I'll first go with R if it did not work I will use Python's library
If you want to collect twiter data in real time please use Flume . Otherwise in R itself twitter data set is given. You can start with that directly.
Here is a good free to download book for social media mining with R.
http://it-ebooks.info/book/3604/
It explains you step by step how to implement the client for querying the Twitter API.
There is also another book which is even more recent : http://it-ebooks.info/book/6393/
Neha , what do you mean R has dataset itself and also I have a problem that I do not just want tweets I want tweets with spam and anti spam content and it seems that Twitter's botMaker is doing the job of filtering so should I re consider the application or what do you think ?
In R tool twitter R ia a library where 447 records are given. I guess it may help you. Using flume and solr real time tweets you may get and store in a file and start parsing and create structure format using big data utility like hive.
Does the 447 records contain spam content ? I don't think so and my problem is to collect spam content , it seems that BotMaker filters the tweets and timeline
Hi,
Podargos can help you collect data from Twitter by machine learning. All you have to do is to tell them your needs.
Podargos can provide twitter historical and realtime data. In additional, it's able to help you retrieve other mobile App data of social networks and e-commerce, and supports for nearly 100 languages.
Podargos' website is http://www.podargos.com
Here is the data sample:
http://goo.gl/dRxyow
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