July 13, 2021 Advanced, Algorithm, NLP, Project, Python, Text

How to Perform Basic Text Analysis without Training Dataset

This article was published as a part of the Data Science Blogathon Overview This article will give you a basic understanding of how text analysis works. Learn the various steps of the NLP pipeline Derivation of the overall sentiment of the text. Dashboard depicting the general statistics and sentiment analysis of the text. Abstract In this modern digital era, a large amount of information is generated per second. Most of the data humans generate through WhatsApp messages, tweets, blogs, news articles, […]

July 13, 2021 Advanced, NLP, Project, Python, Text, Unstructured Data, Use Cases

Learn to Develop Simple Chatbots using Python and Deep Learning!

This article was published as a part of the Data Science Blogathon Introduction A Chatbot is an application(software) that is used to manage an online chat conversation through text or text to speech format. Most of the chatbots are accessed online through various websites or assistances(virtual) with a popup. Examples:- E-commerce websites, health, news, etc. Image source: https://www.syncfusion.com/blogs/wp-content/uploads/2020/01/tile.jpg Agenda of this article: 1) Data and Libraries 2) Initialize Training of Chatbot 3) Build the Deep Learning Model 4) Build GUI of […]

July 13, 2021 Advanced, NLP, Project, Python, Technique, Unstructured Data

Part 9: Step by Step Guide to Master NLP – Semantic Analysis

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed some important tasks of NLP. I hope after reading that article you can understand the power of NLP in Artificial Intelligence. So, in this part of this series, we will start our discussion on Semantic analysis, which is a level of the NLP tasks, and see all the […]

July 13, 2021 Advanced, NLP, Python, Text

Part 15: Step by Step Guide to Master NLP – Topic Modelling using NMF

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed all the basic concepts related to Topic modelling. Now, from this article, we will start our journey towards learning the different techniques to implement Topic modelling. In this article, we will be discussing a very basic technique of topic modelling named Non-negative Matrix Factorization (NMF). So, In this […]

July 13, 2021 Advanced, NLP, Text

Part- 19: Step by Step Guide to Master NLP – Topic Modelling using LDA (Matrix Factorization Approach)

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous part of this series, we completed our discussion on LDA, in probabilistic terms. Probably, this article is the last part on Topic modelling since we covered almost all important techniques used for Topic Modelling. So, In this article, we will discuss another approach, named matrix factorization to understand the LDA which […]

July 10, 2021 Advanced, Classification, NLP, Skilltest, Structured Data, Supervised, Text

Custom Text Classification on Android using TensorFlow Lite

This article was published as a part of the Data Science Blogathon Introduction A lot of social media platforms have been using AI these days to classify vulgar and offensive posts and automatically take them down. I thought why not try doing something similar; and so, I’ve come up with this end-to-end tutorial that will help you build your own corpus for training a text classification model, and later export and deploy it on an Android app for you to use. […]

July 10, 2021 Advanced, Classification, NLP, Project, Python, Structured Data, Text

LSTM for Text Classification in Python

This article was published as a part of the Data Science Blogathon With an emerging field of deep learning, performing complex operations has become faster and easier. As you start exploring the field of deep learning, you are definitely going to come across words like Neural networks, recurrent neural networks, LSTM, GRU, etc. This article explains LSTM and its use in Text Classification. So what is LSTM? And how can it be used? What is LSTM? LSTM stands for Long-Short Term […]

July 10, 2021 Advanced, NLP, Project, Python, Structured Data, Text, Use Cases

Resume Screening with Natural Language Processing in Python

For each recruitment, companies take out online ads, referrals and go through them manually. Companies often submit thousands of resumes for every posting. When companies collect resumes through online advertisements, they categorize those resumes according to their requirements. After collecting resumes, companies close advertisements and online applying portals. Then they send the collected resumes to the Hiring Team(s). It becomes very difficult for the hiring teams to read the resume and select the resume according to the requirement, there is […]

July 10, 2021 Advanced, Algorithm, NLP, Project, Python, Text

Part 14: Step by Step Guide to Master NLP – Basics of Topic Modelling

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In this series, we completed our discussion on the entity extraction technique “Named Entity Recognition (NER)”. But at that time, we didn’t discuss another popular entity extraction technique called Topic Modelling. So, in continuation of that article, we will discuss Topic modelling in this article. In this article, we will discuss firstly some of […]

July 10, 2021 Advanced, NLP, Text

Part 17: Step by Step Guide to Master NLP – Topic Modelling using pLSA

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed a Topic modelling technique named Latent Semantic Analysis (LSA), but we observed that there are some disadvantages of LSA, so to overcome those problems, we come up with the concept of pLSA, which stands for Probabilistic Latent Semantic Analysis. So, In this article, we will deep dive into […]

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