Is there a process flow to follow for text analytics?

I am trying to draw a process flow (like a template) to be followed while on text analysis projects. So far, I've come up with this.

Text Analytics Steps

1. Data Collection
   • Acquire data
   • Convert data into plain text
2. Remove Duplicate Entries
3. Text Parsing and Extracting Features
   • Tokenization
   • Parsing
     1. Remove HTML characters
     2. Decode complex symbols to UTF-8
     3. Spell check
     4. Apostrophe look-up
     5. Remove punctuation marks
     6. Remove expressions / emojis
     7. Split attached words
     8. Slangs look-up
     9. Remove URLs
   • Lemmatization / Stemming (Normalization of Tokens)
   • Parts-of-Speech Tagging
4. Text Filtering
   • Remove start-words
   • Remove stop-words
   • Remove irrelevant words based on frequency
5. Text Transformation
   • Bag of Words Representation
   • TF-IDF
6. Text Mining / Analysis (whichever analysis needed)
   • Text Categorization
   • Text Classification (supervised)
   • Topic Modeling (unsupervised)
   • Text Clustering
   • Similarity Analysis
   • Sentiment Analysis

Is this flow in the right order of steps?
What are the steps/sub-steps that I am missing?
Does the process flow look like a template or go-to flow chart when undertaking any text analytics project?

Edit: Updated process flow