Articles About Natural Language Processing

Getting Started with Natural Language Processing using Python

This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet of Artificial Intelligence (AI). With the increase in the adoption of AI, systems to automate sophisticated tasks are being built. Some of these examples are described below. Diagnosing rare form of cancer –  At the University of Tokyo’s Institute of Medical Science, doctors used artificial intelligence to successfully diagnose a rare type of leukemia. The doctors used an AI […]

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Feature Extraction and Embeddings in NLP: A Beginners guide to understand Natural Language Processing

This article was published as a part of the Data Science Blogathon Introduction In Natural Language Processing, Feature Extraction is one of the trivial steps to be followed for a better understanding of the context of what we are dealing with. After the initial text is cleaned and normalized, we need to transform it into their features to be used for modeling. We use some particular method to assign weights to particular words within our document before modeling them. We go […]

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Power Pooling: An Adaptive Pooling Function for Weakly Labelled Sound Event Detection

July 18, 2021 By: Yuzhuo Liu, Hangting Chen, Yun Wang, Pengyuan Zhang Abstract Access to large corpora with strongly labelled sound events is expensive and difficult in engineering applications. Many researches turn to address the problem of how to detect both the types and the timestamps of sound events with weak labels that only specify the types. This task can be treated as a multiple instance learning (MIL) problem, and a key to it in the sound event detection (SED) […]

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Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?

August 1, 2021 By: Pedro Rodriguez, Joe Barrow, Alexander Hoyle, John P. Lalor, Robin Jia, Jordan Boyd-Graber Abstract Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models). Rather than replace leaderboards, we advocate a re-imagining so that they better highlight if and where progress is made. Building on educational testing, we create a Bayesian leaderboard model […]

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Detecting Fake News with Natural Language Processing

This article was published as a part of the Data Science Blogathon 1. Introduction We consume news through several mediums throughout the day in our daily routine, but sometimes it becomes difficult to decide which one is fake and which one is authentic. Do you trust all the news you consume from online media? Every news that we consume is not real. If you listen to fake news it means you are collecting the wrong information from the world which can […]

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Indexing in Natural Language Processing for Information Retrieval

This article was published as a part of the Data Science Blogathon Overview This blog covers GREP(Global-Regular-Expression-Print) and its drawbacks Then we move on to Document Term Matrix and Inverted Matrix Finally, we end with dynamic and distributed indexing image source-https://javarevisited.blogspot.com/2011/06/10-examples-of-grep-command-in-unix-and.html#axzz6zwakOXgt     Global Regular Expression Print Whenever we are dealing with a small amount of data, we can use the grep command very efficiently. It allows us to search one or more files for lines that contain a pattern. For […]

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NLTK: A Beginners Hands-on Guide to Natural Language Processing

This article was published as a part of the Data Science Blogathon Introduction:  NLTK is a toolkit build for working with NLP in Python. It provides us various text processing libraries with a lot of test datasets. A variety of tasks can be performed using NLTK such as tokenizing, parse tree visualization, etc… In this article, we will go through how we can set up NLTK in our system and use them for performing various NLP tasks during the text processing […]

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Let’s Understand How does a chatbot work ?

Introduction A technology that makes the interaction between humans and machines in natural language possible, is an Artificial Intelligence Chatbot! They act like a typical search engine but with more enhanced features. Applications of Artificial Intelligence Chatbots are spread over various domains including eCommerce, healthcare, education, travel, automation, finance, hospitality, insurance, and so on. The chatbots are domain-specific and do what they are intended for.  The applications in their domain include: answering customer queries, booking services like flights, movie tickets, […]

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FuzzyWuzzy Python Library: Interesting Tool for NLP and Text Analytics

This article was published as a part of the Data Science Blogathon Introduction There are many ways to compare text in python. But, often we search for an easy way to compare text. Comparing text is needed for various text analytics and Natural Language Processing purposes. One of the easiest ways of comparing text in python is using the fuzzy-wuzzy library. Here, we get a score out of 100, based on the similarity of the strings. Basically, we are given the similarity […]

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Text Analysis with Spacy to Master NLP techniques

This article was published as a part of the Data Science Blogathon Natural Language Processing(NLP) is a branch of Artificial Intelligence that deals with Daily Language. Have you ever wonder how Alexa, Siri, Google Assistant understand us with voice and respond to us. Human Language is the fuzziest and complex. As they receive text input first preprocessing of text happens and many techniques are embedded which lets them understand grammar. In this tutorial, we will study some techniques which are helpful […]

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