How do I implement input preprocessing in my AI model?

How do I implement input preprocessing in my AI model?

Input preprocessing involves cleaning and transforming raw data into a format suitable for your AI model. What type of data are you working with?

I'm working with text data for a natural language processing task.

Great! For text data, you might want to consider steps like tokenization, removing stop words, and stemming or lemmatization. Would you like details on any specific step?

Yes, can you explain tokenization?

Tokenization is the process of breaking down text into individual words or phrases, called tokens. This helps the model understand the structure of the text. You can use libraries like NLTK or SpaCy for this.

Thanks! How do I remove stop words?

You can remove stop words by using predefined lists available in libraries like NLTK or SpaCy. They provide functions to filter out common words that may not add significant meaning to your analysis.