Twitter and text analysis

Pros

Discovertext provides huge number of filtering options. I am doing a research about Twitter users and my data size is very large. Firstly, Discovertext help me to clean my data by using duplicate and near duplicate functions. Secondly, Coding is very easy by using Discovertext, It is really time saver. I should classify key influencers and most retweeted tweets etc., It has easily done by provided filters. Finally, Discovertext automatically create reports related to results.

Cons

Sometimes, I do not understand some filtering options and could not find a information about them but helps always provided by customer support quickly.

I've been using it for several years for analyzing customer data and Twitter data.

It's easy to create and code a dataset, and it is a particularly useful software to work with a team of coders in the same dataset.

Pros

My favorite feature about this software is the fact that it allows multiple coders to easily work on a coding project. So if you have a lot of data, you can load the data on DiscoverText, set up some codes, and have several people work at the same time with coding. It will provide you with a report of what each coder did for how long etc, and also will allow you to export the results. You can also import data directly from Twitter using the search API. Coders can see the actual tweet when coding, which helps speed up the coding process. You can also export the data to NodeXL in order to generate social graph and calculate social network analysis metrics. For a fee, it is also possible to get access to GNIP and the entire historical archive of tweets. DiscoverText is not limited to Twitter, you can import data from other sources (including SurveyMonkey). As a researcher working with Twitter, for me the most valuable tool is the ability to easily create and code a Twitter dataset.

Cons

Sometimes it will let two coders work on the same item if they access the item at the same time. Not allowing this could speed up the process.

Great way to collect unique/interesting data; however, some technical background required.

Pros

I think the greatest part about DiscoverText is all of the different types of social media data you're able to collect. I've only begun to scratch the surface of the usability of DiscoverText in my research. I also think it's wonderful that this software is "academic friendly" by offering discounted prices for faculty and students.

Cons

If you've never conducted research with social media data, it can be daunting trying to figure out how to get going with the software. There are some "how to" videos to get you started (if you can find them), but I still found them to be above my technical understanding so I've had to pretty much stumble around to use the software correctly. Additionally, I contacted customer support with a question about one of the variables collected from tweets and never received a response.

Works great for academic social media analyses

Great, much better than dealing with huge JSON files in Python or R.

Pros

Since platforms like Facebook and Twitter have been changing their API access recently, I was pleased to discover that DiscoverText has continued having solid access to social media posts, especially having live "fire hose" access to tweets. As a graduate student conducting digital sociology in the study of online activism, DiscoverText has been very helpful and easy to use to gather and code large numbers of tweets using specific hashtags.

Cons

While coding the tweets was a very streamlined process, it took a bit longer to learn how to collect the tweets. Still, it works well once you get it down.

Great App

Pros

It was easy to set up and had all the right features for me.

Cons

It had too much for me so I got a bit overhwelmed.