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In this video, I have explained about text preprocessing in NLP. These techniques will enrich the data for improving the model performance and it also helps in better analysis of the data. This is one of the important step that needs to be done in every NLP project.
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🕒 Timeline
00:00 Introduction to Text Preprocessing
02:11 Convert to Lowercase
04:05 Removal of Punctuations
08:07 Removal of Stopwords
12:27 Removal of Frequent Words
17:09 Removal of Rare Words
20:41 Removal of Special Characters
23:46 Stemming
26:34 Lemmatization & POS Tagging
34:51 Removal of URLs
38:03 Removal of HTML Tags
41:30 Spelling Correction
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Text Preprocessing in NLP | Python
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text processingtext preprocessingtext preprocessing in nlpdata cleaningdata cleaning pythondata cleaning in machine learningdata cleaning in nlptext data processingnatural language processingnatural language processing tutorialmachine learningcomplete text processingtext processing using machine learningnlp and text processingnlp theorynlp conceptsnltktheory conceptsdeep learningartificial intelligencedata sciencepythonhackers realm