Articles About Deep Learning

February 22, 2021 Advanced, Classification, Deep Learning, NLP, Project, Python, Social Media, Supervised, Technique, Text, Unstructured Data Leave a comment

Sentiment Analysis: Predicting Sentiment Of COVID-19 Tweets

This article was published as a part of the Data Science Blogathon. Introduction Hi folks, I hope you are doing well in these difficult times! We all are going through the unprecedented time of the Corona Virus pandemic. Some people lost their lives, but many of us successfully defeated this new strain i.e. Covid-19. The virus was declared a pandemic by World Health Organization on 11th March 2020. This article will analyze various types of “Tweets” gathered during pandemic times. […]

February 17, 2021 Advanced, Deep Learning, NLP Leave a comment

Dialogue Summarization: A Deep Learning Approach

This article was published as a part of the Data Science Blogathon. Dialogue Summarization: Its types and methodology Image cc: Aseem Srivastava Summarizing long pieces of text is a challenging problem. Summarization is done primarily in two ways: extractive approach and abstractive approach. In this work, we break down the problem of meeting summarization into extractive and abstractive components which further collectively generate a summary of the conversation. What is Dialogue Summarization? Humans are social animals, we exchange […]

February 10, 2021 Advanced, Analytics Vidhya, Audio Processing, Deep Learning, Libraries, NLP, Object Tracking, Python, Supervised Leave a comment

Introduction to Hugging Face’s Transformers v4.3.0 and its First Automatic Speech Recognition Model – Wav2Vec2

Overview Hugging Face has released Transformers v4.3.0 and it introduces the first Automatic Speech Recognition model to the library: Wav2Vec2 Using one hour of labeled data, Wav2Vec2 outperforms the previous state of the art on the 100-hour subset while using 100 times less labeled data Using just ten minutes of labeled data and pre-training on 53k hours of unlabeled data Wav2Vec2 achieves 4.8/8.2 WER Understand Wav2Vec2 implementation using transformers library on audio to text generation Introduction Transformers has been […]

January 20, 2021 Advanced, Computer Vision, Deep Learning, Image, Image Analysis, NLP, Python, Technique, Unstructured Data Leave a comment

Implementation of Attention Mechanism for Caption Generation on Transformers using TensorFlow

Overview Learning about the state of the art model that is Transformers. Understand how we can implement Transformers on the already seen image captioning problem using Tensorflow Comparing the results of Transformers vs attention models. Introduction We have seen that Attention mechanisms (in the previous article) have become an integral part of compelling sequence modeling and transduction models in various tasks (such as image captioning), allowing modeling of dependencies without regard to their distance in the input or output […]

January 13, 2021 Advanced, Classification, Deep Learning, NLP, Python, Social Media, Structured Data, Supervised, Technique, Text Leave a comment

Emotion classification on Twitter Data Using Transformers

Introduction The world of Natural language processing is recently overtaken by the invention of Transformers. Transformers are entirely indifferent to the conventional sequence-based networks. RNNs are the initial weapon used for sequence-based tasks like text generation, text classification, etc. But with the arrival of LSTM and GRU cells, the issue with capturing long-term dependency in the text got resolved. But learning the model with LSTM cells is a hard task as we cannot make it learn parallelly.

January 9, 2021 Advanced, Deep Learning, NLP, Project, Python, Technique, Text Leave a comment

Out-of-the-box NLP functionalities for your project using Transformers Library!

This article was published as a part of the Data Science Blogathon. Introduction In this tutorial, you will learn how you can integrate common Natural Language Processing (NLP) functionalities into your application with minimal effort. We will be doing this using the ‘transformers‘ library provided by Hugging Face. 1. First, Install the transformers library. # Install the library !pip install transformers 2. Next, import the necessary functions. # Necessary imports from transformers import pipeline 3. Irrespective of the task that […]

January 7, 2021 Advanced, Deep Learning, NLP Leave a comment

Introduction to Automatic Speech Recognition and Natural Language Processing

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will take a closer look at how speech recognition really works. Now, when we say speech recognition, we’re really talking about ASR, or automatic speech recognition. With automatic speech recognition, the goal is to simply input any continuous audio speech and output the text equivalent. We want our ASR to be speaker-independent and have high accuracy. Such a system has long been a […]

January 6, 2021 Advanced, Deep Learning, NLP Leave a comment

GPT-3 THE NEXT BIG THING! Foundation of Future?

This article was published as a part of the Data Science Blogathon. Introduction Did you ever have a thought or a wish that you just wanted to write two lines of an essay or a journal and the computer just wrote the rest for you? If yes, then GPT-3 is the answer for you. Baffled? So are the people who got their hands on the GPT-3. Every field in AI is making advancements and NLP & Deep learning are such […]

December 31, 2020 Advanced, Deep Learning, NLP, Project, Python, Semi-supervised, Structured Data, Technique, Text Leave a comment

Fake news classifier on US Election News📰 | LSTM 🈚

Introduction News media has become a channel to pass on the information of what’s happening in the world to the people living. Often people perceive whatever conveyed in the news to be true. There were circumstances where even the news channels acknowledged that their news is not true as they wrote. But some news has a significant impact not only on the people or

December 21, 2020 Deep Learning, NLP, Semi-supervised, Word Embeddings Leave a comment

Multilingualism in Natural Language Processing: Targeting Low Resource Indian Languages

Introduction A language is a systematic form of communication that can take a variety of forms. There are approximately 7,000 languages believed to be spoken across the globe. Despite this diversity, the majority of the world’s population speaks only a fraction of these languages. In Spite of such a rich diversity Languages are still evolving across time much like the society we live in. While the English language is uniform, having the distinct status of being the official language of […]

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