Python Micro-Framework (Flask) | Flask the Micro Framework

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Parsing resume and to extract data from the resume is really a tough work for the recruiter or whoever want to extract some useful information from the text document here in this blog, Basically, we are going to more focus on the summarization of resume. Resumes are a great example of unstructured data and it has its own style and format to preprocess data it will take a really good amount of time its obvious . and also this is really tough task to extract information from this type of document for a human. so now our task is to build a model that will extract useful information automatically. Automate resume parsing using Spacy and NLTK Spacy is an opensource powerful python package in NLP for doing various NLP tasks. This library is published by Matthew Honnibal and Ines Monstani under MIT license. So, what are the features of it? Spacy is the one-stop for usual task in NLP project. The features are: - Tokenization Lemmatization Part-of-speech tagging Entity reco...
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Overview: - Basic of Speech Recognition. Basic of NLP. How it is related to Speech recognition. Some of the techniques in Speech Recognition. Some of the challenges. Speech Recognition: - Speech recognition is a technique which is highly demanding in the market. There are a lot of companies are trying to adopt speech recognition techniques into their product to compete with today’s market (for example: — Ok Google, Apple Siri, Amazon Alexa) But how much we know about speech recognition? Speech recognition  is a technique or we can say it as software which has capable of recognizing the speech/voice that human says. it can be in any language that is already been in the solution. Speech recognition is the solution where it’s taking the voice input and doing some use full tasks for us. How it works: - When speech recognition takes a voice input first it tries to make it into a number of tokens as we are doing in texts, By splitting the voice input after making token it will try t...
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