Cosine Similarity for NLP - Clearly Explained

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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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Пікірлер: 6

@fiza_Aslam 4 ай бұрын

Your teaching style is versatile and I learned EDA from you. I watched many tutorials on attendance management system. But I didn’t get something. Kindly sir create this project. This is my humble request. Include hardware system also if you can.

@anugrahkumar9987 4 ай бұрын

Very informative video

@stickking44 2 ай бұрын

Man this really helped me understand cosine similarity

@SatyajitPattnaik 2 ай бұрын

🙏

@fiza_Aslam 4 ай бұрын

Please! Please! Please! Kindly sir create an advance attendance system for school. It should have all the functionalities like when a student comes in front of camera it should mark that student as present for that specific day and pronounce that this student is present. It should have a database which will be holding all the attendance records of last days and months. It should also have a search system to search for a specific student attendance record. Kindly sir take my request. I’ll be very thankful to you🎉🎉