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Series
Introduction NLP works as a bridge, as a connection between computer science, AI, and natural human language. Basically, it involves programming computers to analyze large amounts of natural language data. Computers are very good at handling numerica...
This is the part 2 of my NLP series. Enjoy! Part of Speech tagging So far I’ve shown you how to get the part of speech of the tokens. Now I’ll dive deeper. import spacy nlp = spacy.load('en_core_web_sm') doc = nlp("The quick brown fox jumped over t...
Overview of Semantic and Word Vector word2vec is a two layer neural net that processes text; where input is a text corpus and output is a vector set. Word2vec’s purpose is to group the vector of similar words. It detects similarities mathematically. ...
Overview of Topic Modeling While dealing with large dataset, topic model helps us to efficiently analyze by clustering the documents. Large amount of text data comes in mostly unlabeled and due to it’s enormous quantity, applying supervised learning ...
The Basic Perception Model Neural Network resembles a lot like our neurons in brain, this is called perceptions. Just like our neuron gets inputs and passes out to another neuron in order to make a decision or analyze something, neural network follow...
