Big Data Text Analysis
A free Windows program for keyword, issue, time series, sentiment, gender and content analyses of (mainly) social media texts. *download*
*** Thelwall, M. (2018). Social web text analytics with Mozdeh. University of Wolverhampton. [free short overview book] ***
Mozdeh was used to collect and analyse data for the following publications.
Thelwall, M. (2018). Can museums find male or female audiences online with YouTube? Aslib Journal of Information Management, 70(5), 481-497.
Thelwall, M. & Mas-Bleda, A. (2018). YouTube science channel video presenters and comments: Female friendly or vestiges of sexism? Aslib Journal of Information Management, 70(1), 28-46.
Thelwall, M. (2018). Can social news websites pay for content and curation? The SteemIt cryptocurrency model. Journal of Information Science, 44(6), 736–751.
Ahmed, W. (2018). Using Social Media Data for Research: An Overview of Tools. Journal of Communication Technology, 1(1), 77-94.
Thelwall, M. (2018). Social media analytics for YouTube comments: Potential and limitations. International Journal of Social Research Methodology, 21(3), 303-316. doi:10.1080/13645579.2017.1381821 [ local copy]
Holmberg, K., & Hellsten, I. (2014, June). Analyzing the climate change debate on Twitter: content and differences between genders. In Proceedings of the 2014 ACM conference on Web science (pp. 287-288). ACM.
Terlumun, I. T., Appollm, Y. I., Ibrahim, F. J., Mamman, F. S., Yusuf, A. K., & Ibrahim, A. H. (2018). Determining the Effectiveness of Youtube Videos in Teaching and Learning with Mozdeh Algorithm. International Journal of Education and Evaluation.
Thelwall, M., & Cugelman, B. (2017). Monitoring Twitter strategies to discover resonating topics: The case of the UNDP. El profesional de la información.
Thelwall, M., Buckley, K., & Paltoglou, G. (2011). Sentiment in Twitter events. Journal of the American Society for Information Science and Technology, 62(2), 406-418.
Thelwall, M. (2008). No place for news in social network web sites?. Online Information Review, 32(6), 726-744.
Sentiment and retweet/reviews/citation graphs and the top of the word frequency table.
Mozdeh can produce a time series graph of the volume of texts for your topic. The graph below is a section of a screenshot showing the hourly volume of tweeting for a corpus of tweets related to the 2011 UK Riots in 2011.
Mozdeh can produce a time series graph of the percentage of texts matching a query for your topic. The graph below is a section of a screenshot showing the hourly percentage of tweets mentioning police in a UK Riots 2011 corpus.
Mozdeh can produce a time series graph of the average positive and negative sentiment of texts for your whole topic or just the texts matching a query for your topic. The graph below is a section of a screenshot showing the hourly average sentiment of tweets mentioning police in a UK Riots 2011 corpus.
Mozdeh can search for texts matching a query for your topic. The picture below is a section of a screenshot showing some of the results of a search for Wolverhampton in a UK Riots 2011 Twitter corpus.
If you can't use Windows, then you might try COSMOS for Mac/Linux or investigate this list of social media software.