# Preprocessing | More Information **URL:** \ **Category:** NLP with Classification and Vector Spaces\ **Tags:** week-module-1\ **Created:** [April 15, 2022, 10:15am UTC](https://community.deeplearning.ai/t/preprocessing-more-information/119304 "2022-04-15T10:15:24Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Anshul007](https://avatars.discourse-cdn.com/v4/letter/a/a183cd/32.png) [@Anshul007](https://community.deeplearning.ai/u/Anshul007)\ **Post date:** [April 15, 2022, 10:15am UTC](https://community.deeplearning.ai/t/preprocessing-more-information/119304/1 "2022-04-15T10:15:24Z")
Hi, Below are the preprocessing, which we have to perform: - Eliminate handles and URLs - Tokenize the string into words. - Remove stop words like “and, is, a, on, etc.” - Stemming- or convert every word to its stem. Like dancer, dancing, danced, becomes ‘danc’. You can use porter stemmer to take care of this. - Convert all your words to lower case. My question is, As a best practice is there any order of above steps, which we can follow? Thanks ---
**Author:** ![balaji.ambresh](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/balaji.ambresh/32/128697_2.png) [@balaji.ambresh](https://community.deeplearning.ai/u/balaji.ambresh)\ **Post date:** [April 16, 2022, 12:54pm UTC](https://community.deeplearning.ai/t/preprocessing-more-information/119304/2 "2022-04-16T12:54:57Z")
I recommend lowercasing be done before stopword removal etc. since case matters. See this [link](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text/Tokenizer) for a good example on text preprocessing. ---
**Author:** ![Tatikonda\_Chanakya](https://avatars.discourse-cdn.com/v4/letter/t/ba9def/32.png) [@Tatikonda\_Chanakya](https://community.deeplearning.ai/u/Tatikonda_Chanakya)\ **Post date:** [April 18, 2022, 4:07am UTC](https://community.deeplearning.ai/t/preprocessing-more-information/119304/3 "2022-04-18T04:07:48Z")
I recommend lowercasing be done before stopword removal etc. since case matters. See this [link](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text/Tokenizer) for a good example on text preprocessing.