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 – Supervised versus Unsupervised – Futuristic view

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”

Artificial Intelligence and Flower Blooming Early – Effect of Ecosystem. Analysis and Solutions!

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!”

NLP Overview

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”

Is AI a threat as some feel ! It is a boon!

It was an odd article I read today, that AI shall hack human brains. Well what will hack human brains is the devises to measure the MRI signals and brain activity and these DONOT USE AI. THESE ARE MECHANICAL DEVISES NOT AI DEVISES. One must understand AI first, then human brains and then humans. UnderstandContinue reading “Is AI a threat as some feel ! It is a boon!”

Textual Data Represented using Group Theory and NLP Problem Solving – An Abstract Mathematical Model

                       Abstract-This article lays emphasis on how Abstract Algebra topic of Group Theory can be applied to the problems of Natural Language Processing. Here the monoid is defined for certain NLP tasks and the proposed extension of the free semigroup to free Group is illustrated for its meaning in several NLP tasks.Continue reading “Textual Data Represented using Group Theory and NLP Problem Solving – An Abstract Mathematical Model”