This task involves categorizing different NLP applications based on the categories discussed during the bootcamp. The categorization will be done for three use-cases provided in the file nlp_1.pdf
. Additionally, an example of an innovative NLP technology, such as Gmail's auto-response suggestions, will be discussed.
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Categorization of NLP Use-Cases:
- Read the use-case descriptions provided in the file
nlp_1.pdf
. - Categorize each use-case into the appropriate NLP application category discussed during the bootcamp.
- Example categories may include sentiment analysis, text classification, information extraction, etc.
- Read the use-case descriptions provided in the file
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Example of Innovative NLP Technology:
- Research and identify an innovative NLP technology developed by companies like Google, Microsoft, or IBM.
- Write a brief summary about the technology, its purpose, and an overview of how it works.
- nlp_1.pdf: Contains descriptions of the use-cases to be categorized.
- nlp_2.pdf: Will contain the summary of the innovative NLP technology researched.
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Categorization:
- Open the file
nlp_1.pdf
. - Read and analyze each use-case description.
- Categorize each use-case into the appropriate NLP application category.
- Save your categorization in the provided Dropbox folder for this task.
- Open the file
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Research and Summary:
- Research and identify an innovative NLP technology.
- Write a summary about the technology, its purpose, and how it works.
- Save your summary in the provided Dropbox folder for this task.
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Review Use-Cases:
- Open the file
nlp_1.pdf
to review the use-case descriptions.
- Open the file
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Categorize Use-Cases:
- Categorize each use-case into relevant NLP application categories.
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Research and Summary:
- Research innovative NLP technologies.
- Write a summary about the chosen technology.