How can I clean unstructured data effectively?
An example of an AI chatbot conversation about cleaning unstructured data.
How can I clean unstructured data effectively?
Cleaning unstructured data involves several steps, including data preprocessing, normalization, and transformation. What type of unstructured data are you working with?
I'm dealing with text data from customer reviews.
For text data, you can start by removing noise such as special characters, stop words, and performing stemming or lemmatization. Would you like to know more about any specific technique?
Yes, what is stemming and how does it work?
Stemming is the process of reducing words to their base or root form. For example, 'running' becomes 'run'. This helps in reducing the dimensionality of the data.
That makes sense! How do I implement stemming in Python?
You can use libraries like NLTK or SpaCy in Python. For NLTK, you can use the PorterStemmer class. Would you like a code example?
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