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Refers to a subset of data mining concerned with extracting information from data in the form of text by recognizing patterns. The goal of text mining is often to classify a given document into one of a number of categories in an automatic way, and to improve this performance dynamically, making it an example of machine learning. One example of this type of text mining are spam filters used for email.
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Would it work to label 1/5th of my data and once I learn a classifier to slowly provide the ... [closed]
I need to classify MOOC video scripts into one of 5 classes which specify the intent of the sentence, e.g. explanation, example, summary etc., sentence-wise.
I have 11 courses extracted and selected …
3
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Build train data set for natural language text classification?
I have extracted ~550 video scripts (subtitles) from 11 free courses on the Coursera platform. I have pre-processed them in terms of punctuation removal, stop words removal, tokenization, stemming and …