Pulling the rug out from under the stacks
نویسندگان
چکیده
منابع مشابه
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It is often assumed that topic models benefit from the use of a manually curated stopword list. Constructing this list is timeconsuming and often subject to user judgments about what kinds of words are important to the model and the application. Although stopword removal clearly affects which word types appear as most probable terms in topics, we argue that this improvement is superficial, and ...
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ژورنال
عنوان ژورنال: College & Research Libraries News
سال: 1986
ISSN: 2150-6698,0099-0086
DOI: 10.5860/crln.47.7.441