cosine text similarity

Since cosine text similarity is a very common topic, there already should be very good videos available. We give here some recommendations for didactical videos explaining cosine text similarity.

• Minsuk Heo 허민석: How to measure similarity in vector space (cosine similarity): Introduce Euclidean Distance and Cosine similarity with easy example for easy understanding to NLP (natural language processing) deep learning students. (4:16)

• Cosine similarity, cosine distance explained: (14:27) Cosine similarity, cosine distance explained in a way that high school student can also understand it easily. If you have aspirations of becoming a data scientist, you must know these two concepts. I will explain cosine similarity using a real life simple example and then we will write code in python using sklearn library.

• Francisco Iacobelli: Cosine Similarity: Introduction to document similarity using document x term matrices. I’ll introduce intuitions and end with cosine similarity as a better measure for similarity. (23:31)

Erklärungen incl. Transkript:

• Feature Extraction from Text (USING PYTHON) (14:29)

• NLP: Understanding the N-gram language models (10:32): incl. transkript

Vom Wort zum Topic:

• Minsuk Heo 허민석: Latent Semantic Analysis: Understand LSA (a.k.a LSI) for topic modeling and topic similarity.