Kate LastoskieAnalyzing 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…Oct 31
Zhiheng JianginTowards Data ScienceHacking “Codenames” with GloVe EmbeddingsUsing a GloVe embedding-based algorithm to achieve 100% accuracy on the popular party game “Codenames”Jul 16
ArjunDecoding Word2Vec: The Magic Behind Word EmbeddingsWord2Vec is a key technology in natural language processing (NLP) that helps computers understand text in a smarter way. Imagine it as a…Sep 13Sep 13
Devashish Datt MamgaininPython in Plain EnglishTop 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…Aug 14Aug 14
Dravid NagiExploring Word2Vec: The Power of Word Embeddings in Natural Language ProcessingBasics about Word2vec and how to use itJul 19Jul 19
Kate LastoskieAnalyzing 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…Oct 31
Zhiheng JianginTowards Data ScienceHacking “Codenames” with GloVe EmbeddingsUsing a GloVe embedding-based algorithm to achieve 100% accuracy on the popular party game “Codenames”Jul 16
ArjunDecoding Word2Vec: The Magic Behind Word EmbeddingsWord2Vec is a key technology in natural language processing (NLP) that helps computers understand text in a smarter way. Imagine it as a…Sep 13
Devashish Datt MamgaininPython in Plain EnglishTop 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…Aug 14
Dravid NagiExploring Word2Vec: The Power of Word Embeddings in Natural Language ProcessingBasics about Word2vec and how to use itJul 19
Hajar ZankadiTopic Modeling with Latent Dirichlet Allocation (LDA)using Gensim and NLP techniques (Part II)In Part I of this tutorial (link), I explained what is LDA, how it works and what are its hyper-parameters. I also highlighted some NLP and…Jan 5, 20232
AmnazafarVectoring Words(Word Embedding)Word Embedding is a technique in natural language processing (NLP) where words or phrases from a vocabulary are mapped to vectors of real…Jun 24
KH HuangGensim — Topic Modelling in PythonGensim is a popular open-source library in Python for natural language processing and machine learning on textual data. One of its primary…Aug 19, 2023
