Author Archives: Nidhika

Soft Rough Sets for Textual Data Analytics and Language Processing

Here, are some areas we have been working. You shall get glimpses of its workings. For any future work, help, suggestions, you can write to us. This article covers topics on Soft Rough Sets and it’s applications in Text Analytics and Language Processing. The coding shall use Python as much as it can.

Decision Tree using Python With Random Data

Import all required libraries — — — — — — — — — — — — — import pandas as pd from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier from sklearn import tree import matplotlib.pyplot as plt import random import os — — — — — — — — — — — — — —Continue reading “Decision Tree using Python With Random Data”

Decision Trees and Futuristic Applications

​​​​​Nidhika Yadav Abstract: Decision Trees (DT) are a familiar and important tool in AI applications. One must understand, that the use of DT extends much beyond its current scope. Hence futuristic applications are proposed in article. That is to say, the AI toolkit can be used in a variety of applications. The current article explainsContinue reading “Decision Trees and Futuristic Applications”

Donations, Global Donation Software based Charts, Timelines & Methodologies – Research Based Analysis – Part I

Why, donations? People donate for various reasons, these are personal preference, if this is ones own hard work, without any kind of assistance, direct or indirect. Typically, we believe, if the money generated, is from a source, under some liability, one may be entailed, to be answerable, to the processes, that generated the revenue, justContinue reading “Donations, Global Donation Software based Charts, Timelines & Methodologies – Research Based Analysis – Part I”

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”

Introduction to Text Summarization: Present and Future Of Text Summarization

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”

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!”