Tag: Natural Language Processing

>> Natural Language Processing: Bleu Score

>> Dimensionality of Word Embeddings

>> Co-occurrence Matrices and Their Uses in NLP

>> Differences Between Porter and Lancaster Stemming Algorithms

>> What Exactly Is an N-Gram?

>> Algorithm for Handwriting Recognition

>> Recurrent vs. Recursive Neural Networks in Natural Language Processing

>> Word2vec Word Embedding Operations: Add, Concatenate or Average Word Vectors?

>> How to Create a Smart Chatbot?

>> Finding Dates, Times and Addresses in Emails

>> NLP’s word2vec: Negative Sampling Explained

• Probability and Statistics

>> How To Convert a Text Sequence to a Vector

>> Transformer Text Embeddings

>> Semantic Similarity of Two Phrases

>> Automatic Keyword and Keyphrase Extraction

>> Generalized Suffix Trees

>> Word Embeddings: CBOW vs Skip-Gram

>> String Similarity Metrics: Sequence Based

>> Topic Modeling with Word2Vec

>> Converting a Word to a Vector

>> How Does the Google “Did You Mean?” Algorithm Work?

>> Algorithms for Determining Text Sentiment

>> Sentiment Analysis Dictionaries

>> Training Data for Sentiment Analysis

>> How to Compute the Similarity Between Two Text Documents?

>> Introduction to Emotion Detection in Written Text

>> Stemming vs Lemmatization

>> Publicly Available Spam Filter Training Sets