NLP Futuristic Applications, Use Cases, Research Areas. Lecture 1 – Focus on futuristic Keywords Selection algorithms and it’s possible applications.
Here are my lectures 1. Introduction, 2. Brief Illustration, on topic “NLP Futuristic Applications, Use Cases, Reseach Areas. Lecture 1 – Focus on futuristic Keywords Selection algorithms and it’s possible applications.” Here NLP applications are understood in preview of futuristic view points, future possibilities and future applications. These are here illustrated to understand the directionsContinue reading “NLP Futuristic Applications, Use Cases, Research Areas. Lecture 1 – Focus on futuristic Keywords Selection algorithms and it’s possible applications.”
Keyword selection is about selection of important keywords from a text, a collection of texts or even in books, collection of catalogues. Here I present futuristic view of keyword selection, it applications and proposed uses. Not the past uses we all are familiar with – the future uses of keywords selection. -Actually, keyword extraction reducesContinue reading “Keyword Selection – Supervised versus Unsupervised – Futuristic view”
Here is short clip of lecture. Full lecture available on YouTube here:
In this article we discuss Introduction to Text Summarization. Text Summarization as an AI Application and in particular as an NLP application. It is a field in NLP and it has huge applications. Here I will be discussing about: What is Text Summarization. What is scope of Text Summarization Types of Text Summarization Characterization ofContinue reading “Introduction to Text Summarization: Present and Future Of Text Summarization”
Spring are associated with warmth and water is required for flowers to bloom. As per Wikipedia (Spring (season) – Wikipedia) spring relates to flowering of many kinds of plants, animal life change, smell of soil that has reached the temperature for flourishing of microflora. Plants flowering a month before, means the heat of Sun orContinue reading “Artificial Intelligence and Flower Blooming Early – Effect of Ecosystem. Analysis and Solutions!”
Natural Language Processing (NLP) has evolved with the growth of Artificial Intelligence. The famous turning test relies heavily on NLP, since the way an analyst differentiate between a machine and a human is through questions in Natural Language, be it any language, understood by the both. Back then in the 1950’s information retrieval automation workContinue reading “NLP Overview”
2-class Image Recognition Task using Backpropagation, Regularized Neural Networks, Logistic Regression and Naive Bayes-Code, Results and Analysis for given Implementation
This article is for education and learning purpose. The aim is to understand how to start experimentation in the area of Neural Networks, how to compare results, what all features to consider while doign experiments. It is a handy tool for those doing self learning in the area of Machine Learning. And a good startContinue reading “2-class Image Recognition Task using Backpropagation, Regularized Neural Networks, Logistic Regression and Naive Bayes-Code, Results and Analysis for given Implementation”
Earth has is been though a lot with and without humans since its creation and existence. Be it acid rains that marked a start to all the major processes or be it the ice age! It has gone through several turmoil’s and still retain self equilibrium of the essential atmospheric, seismical, polar, geographical, biological processes,Continue reading “Let NATURE BE NATURAL , Let Earth BE MORE Natural !”
These days people are talking of colonization of Mars and Moon. Wait! Hold On! Earth needs lot of innovations in AI ! Don’t just jump in to make solutions for Mars and Moon where you don’t even know the oxygen needed by human would be available in enough quantities. There is lack of oxygen inContinue reading “AI based sensors for Forest Fires detection and AI based systems for Stopping the Spread”
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