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Tag: natural language processing

Speech to Text Conversion in Python – A Step-by-Step Tutorial

This article was published as a part of the Data Science Blogathon. Introduction to Text to Speech When it comes to our interactions with machines, things have gotten a lot more complicated. We’ve gone from large mechanical buttons to touchscreens. However, hardware isn’t the only thing that’s changing. Throughout the history of computers, the text has […]

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Fine-Tuning BERT for Tweets Classification with HuggingFace

In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

Named Entity Recognition App using Spacy, Gradio, and Hugging face Spaces

This article was published as a part of the Data Science Blogathon. Introduction Named Entity Recognition(NER) is a subtask of information extraction that locates and classifies different entities like name, organization, person, etc., in a sentence. Usually, it is done to classify named entities mentioned in unstructured text into predefined categories. Named Entity Recognition(NER) has many […]

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Text Classification & Entity Recognition &amp in NLP

This article was published as a part of the Data Science Blogathon.   Source: medium.com Hey Folks! Welcome to the NLP article series. so far we have covered the multiple text processing techniques in the first article. In the second part of the NLP article series, we saw different types of feature extraction techniques and word […]

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Guide for Tokenization in a Nutshell – Tools, Types

Introduction Text is all we need. Everything we speak, write carries a huge amount of information. The topic name of the article, tone of the article everything adds a piece of information that we can interpret and extract the insights from them. Processing text and extracting the important information from the text is text processing. Doing data analysis by extracting […]

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An Introduction to Synthetic Image Generation from Text Data

This article was published as a part of the Data Science Blogathon. Introduction Synthetic Image generation is the creation of artificially generated images that look as realistic as real images. These images can be created by Generation Adversarial Networks(GAN) which use a generator-discriminator architecture to train, generate and rate synthetic images that create a creation-feedback loop […]

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Beginner’s Guide for Data Partitioning in HiveQL

This article was published as a part of the Data Science Blogathon. Introduction Facebook created a hive, however, it was eventually picked up by the Apache Software Foundation and developed as an open-source project under the name Apache Hive. It is used by a variety of businesses. Amazon uses it in Amazon Elastic MapReduce. Let’s have […]

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How AI Can Transform Hybrid Events

The initial phase of the global pandemic shocked nearly every industry, with in-person events effectively grinding to a halt. Industry conferences that millions of people had relied on for networking, training, and generating business were suddenly gone. Fortunately, companies, organizers, and supporting event platforms were agile, quick-footed, and resourceful in their efforts to shift events […]

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Learn Machine Learning 4X Faster by Participating in Competitions

Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

Why Humbling Yourself Will Improve Your Data Science Skills

Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

Explain NLP Models with LIME

It is important to know how LIME reaches to its final outputs for explaining a prediction done for text data. In this article, I have shared that concept by enlightening the components of LIME.

NLP Tutorials Part II: Feature Extraction

This article was published as a part of the Data Science Blogathon. Hey Folks! Welcome to the NLP from zero to advanced series on analytics Vidhya where we are covering all the NLP topics from beginner to the advanced level. In the last article, we have seen various text processing techniques with examples. If you haven’t […]

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