N-grams


r_subheading-Course Description-r_end N-grams are a method to help machines understand a word and its context in order to better understand the meaning of the word. r_break r_break r_subheading-What You'll Learn-r_end • Validate the effectiveness of TF-IDF in improving model accuracy. r_break • Introduce the concept of N-grams as an extension to the bag-of-words model to allow for word order. r_break • Discuss the trade-offs involved of N-grams and how Text Analytics suffers from the ‘Curse of Dimensionality’. r_break • Illustrate how quickly Text Analytics can strain the limits of your computer hardware. r_break r_break Watch this short r_link-Introduction to N-grams- https://online.datasciencedojo.com/course/Text-Analytics-with-R/model-building-and-evaluation/n-grams-r_end for a general understanding of the method popular in NLP and text analytics.

Text Analytics tutorial slides can be accessed r_link-here- https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Text%20Analytics%20with%20R-r_end r_break r_break Download R r_link-here- https://cran.r-project.org/-r_end r_break r_break SMS Spam Collection Dataset used in this tutorial can be accessed r_link-here- https://www.kaggle.com/uciml/sms-spam-collection-dataset-r_end

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