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Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
2020
Frontiers in Artificial Intelligence
With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages. As a result, users often find it challenging to discover useful information or more on the topic being discussed from such content. Machine learning and natural language processing algorithms are used to analyze the massive amount of textual social media data available online, including topic modeling
doi:10.3389/frai.2020.00042
pmid:33733159
pmcid:PMC7861298
fatcat:b3usadyc3rgtpnppnywkvol4ie