Kishore·Feb 10NLP: 2 EmbeddingsIn the previous article, we treated words as one-hot vectors. There is no notion of similarity.
InTech NotesbyMohamad Mahmood·Feb 6Gensim in NLP: Topic Modeling, Word Embeddings, and Use CasesGensim is an open-source Python library designed for topic modeling, document similarity analysis, and word embedding tasks in natural…
Umesh Bomme Gowda·Dec 21, 2025Sentiment analysis without attention layerAfter working extensively with attention-based models, I became curious about how NLP problems were approached before the attention…
Gomathi L·Dec 8, 2025Understanding Word EmbeddingsThis article is the third part of the “Teach Your Computer to Read and Write” series to understand core NLP concepts in a clear and…
InCodeXbyalex buzunov·Oct 13, 2025How Word2Vec Pioneered Contrastive Learning Before It Had a NameBefore “contrastive learning” became a buzzword, Word2Vec quietly taught neural networks how to learn meaning by comparing words — one…
InStackademicbyOkan Yenigün·Sep 28, 2025Word2Vec Made Simple: How Words Become MathWhy ‘King — Man + Woman = Queen’ Explains Word2Vec
Battula Srinivasa Reddy·Jan 7, 2025Understanding Latent Dirichlet Allocation (LDA) in NLP: A Comprehensive Guide with GensimWhen analyzing large collections of text data, one of the most common challenges is uncovering hidden patterns or themes. Latent Dirichlet…
Kate Lastoskie·Oct 31, 2024Analyzing Textual Data for Similarity Using Word EmbeddingsWhen we work with text data, such as reports or descriptions of events, it can be helpful to find records that are similar to each other…
InPython in Plain EnglishbyDevashish Datt Mamgain·Aug 14, 2024Top 5 Python NLP Libraries to Use in 2024The growing popularity of LLMs and various generative AI chatbots has significantly increased the use of NLP across industries. Although…A response icon1A response icon1
