Cosine Similarity for NLP - Clearly Explained

Welcome to this video where we delve into the realm of cosine similarity in Natural Language Processing (NLP). Cosine similarity plays a pivotal role in a wide range of NLP tasks, including text mining, sentiment analysis, semantic textual similarity, question-answering, and document summarization.
Throughout this video, we will explain the mathematical foundations of cosine similarity, examine its practical applications in NLP, and highlight its benefits in measuring document similarity regardless of their length. Whether you're an experienced NLP practitioner or a beginner, this video aims to provide valuable insights into the importance of cosine similarity in NLP and its practical implications in real-world scenarios.
Cosine Similarity for NLP - Clearly Explained
𝐓𝐢𝐦𝐞𝐋𝐢𝐧𝐞:
✅ 00:00 Introduction
✅ 02:35 What is Cosine Similarity?
✅ 13:21 Mathematics behind it
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[@stickking44]

Man this really helped me understand cosine similarity

[@SatyajitPattnaik]

🙏

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[@anugrahkumar9987]

Very informative video

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[@sammingasainathrao1326]

I think here you showed the order of multiplication wrong, though the answer is correct by coincidene : th-cam.com/video/S71j6ycDReo/w-d-xo.html