Natural Language Processing (NLP) with Python | Becoming Dr.Seuss
Natural Language Processing does not have to be scary! Join Charmaine as she goes through how to use Natural Language Processing (NLP) to become the next Dr. Seuss! Using various NLP Python libraries, Charmaine shows us how to identify stop words, how to tag words with their parts of speech, how to sort those words based on their parts of speech, graphing frequency distributions of words, and more. Charmaine also touches on her love of Children’s literature and why she thinks analyzing children’s literature is an interesting application of NLP.
Jupyter Notebook: https://github.com/Decrypted-By-Us/Seuss
Decrypted Charmaine Lee ✨
Video edited by Lauren Meier
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0:00 - Intro
0:50 - Outline
1:05 - Why children’s literature?
3:29 - Who is Dr.Seuss?
4:51 - What is NLP?
5:20 - Code Walkthrough
14:20 - Conclusion
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Music by Gil Wanders - Dreams - https://thmatc.co/?l=C14A91F4
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Decrypted By Us is a learning community by and for students from groups underrepresented in Computer Science. We believe the field of CS should be more inclusive and welcoming of students from diverse academic, cultural, and socioeconomic backgrounds. We do this by creating videos about applied CS topics, that represent and speak to underrepresented CS students to encourage them to pursue their interests and goals.
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