Challenges
Learn about irrelevant text data challenges and how to handle them using Python.
Loss of contextual information
Loss of contextual information is a significant challenge in removing irrelevant text data during preprocessing. When we remove certain words from a sentence without considering the context, we risk losing important information that may be necessary for understanding the meaning of the text. For example, consider the sentence, “I am reading a book about Python.” If we remove the words “a” and “book,” because they are irrelevant, we end up with “I am reading about Python,” which no longer conveys the initial meaning. Here’s an implementation of this example using Python:
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