#Contact atlasti support code#
“Ability to code a large data set quickly seems to be the key strength.” On the other hand, this feature is supported by the recent integration with NodeXL, which is also an interactive network visualization and analysis tool, providing the ability to export directly to a format that can be supported by NodeXL.” With DiscoverText, there are restrictions from Twitter where it is limited to the number of tweets being exported per day. Lastly, being able to cluster information, helps to work on a large amount of data more manageable as DiscoverText can show the main trends in them quickly. Further, DiscoverText can generate reports in RTP, XML, CSV format that could enable inter-coder reliability to increase accurate analysis. This could be a powerful tool for researchers when gathering survey data that has open-ended questions, help saving time and effort. specified metadata fields) to classify searches and removes duplicates. “With DiscoverText, one can use advanced search filters (eg. Other tools I’ve used require a much higher skill level and/or are not as easy to search through.” “This is an easy way to compile the kind of Twitter data I’m looking for for my research. “I like the ease with which we can collect Twitter data.” “It seemed easy to use for new researchers and led to new insights about twitter data easily. I believe that discovertext meets this need.” I’ve used other tools, such as Gephi and Nodexl tweets import plugin, but the loss of context of tweets is really a big problem of these tools. Another important point was the discussion on ethics. Shulman shared good and bad experiences with the use of the tool.
“I really liked the practical demonstration that was grounded in empirical cases. It will be interesting to learn more about further potential to explore the bucket and to classify the dataset in a more advanced-level workshop.” I can filter and cluster the data, explore the trends of the current discussion while also search for different voices that can appear in the Twitter discussion. “The most useful feature for me is the bucket and dataset feature. This is also something I would like to know more about.” It was also very helpful to see the quick demonstration of machine learning at the end. I would love to see some additional resources that describe or demonstrate these types of options. “Very helpful to see some of the software’s functionality demonstrated, such as filtering data by influencer score. I was happy to see that there is the opportunity to work with different languages.” “The workshop was brief and informative enough for starters. I find it interesting, especially because it requires little knowledge of computational skills.”
#Contact atlasti support software#
“It’s a great software with a friendly user interface. As I mentioned during the workshop, it would be interesting to see statistics on # of Tweets deleted/suspended from previously collected sets.” “Very informative workshop! Generates so many ideas for future research! I really appreciate that this software maintains Twitter compliant datasets which makes it safe to use in academic research. “I like it because of multilingual interface!”
I have mainly focused on dealing with the twitter api directly, so this software seems like a great way to interact directly with the data.” “The user interface seemed very easy to navigate which was a plus. I really liked the reply_to meta data feature, and the facility to collect multilingual data really offers a greater bandwidth for research purposes.” However, after attending today’s session, I really found the discovertext software much more extensive and to be offering so much more than other platforms. “I have previously worked on different open source softwares to conduct Twitter sentiment analysis for research purposes. Having a tool created by social science researchers is so incredibly useful.” Also, finding a way to collect Reddit data would be amazing. I’m very focused on civic dialogue and argumentation, so on additional feature would be to be able to collect in a threaded format (to see whether people are engaging in a sustained vs. I’m also excited by the ability to see replies and who someone is responding to. “Being able to sort by meta-data, being able to embed tweets (esp with video, pictures, emoji) in a platform where they can be coded is incredibly useful.
0 kommentar(er)
