Warning: Undefined variable $num in /home/shroutdo/public_html/courses/wp-content/plugins/single-categories/single_categories.php on line 126

Warning: Undefined variable $posts_num in /home/shroutdo/public_html/courses/wp-content/plugins/single-categories/single_categories.php on line 127

One of my peers commented that they, “hadn’t considered the issue with specificity, or lack thereof” when it came to topic modeling. They continue, saying, “Especially when only looking at abstracts from these articles, there can be a lack of specificity involved with this analysis.” However, when you are looking at thousands of articles, it is tedious to look through all of them when there are alternative options that give you the most important information. In the article, “What,Where, When, and Sometimes Why: Data Mining Two Decades of Women’s History Abstracts,” the author used text modeling to analyze a little over half a million essays and articles about women’s history.  This, in my opinion, is the most efficient way to go about this because I am sure that there were moments within in each article or essay where the author spoke on things that weren’t important to their overall point, and having the ability to skip over or omit these insignificant portions makes the process much quicker. While I can see where my classmate was coming from, this method is just to maximize useful time.