Category Archives: nlp

Fuzzy Logic Based based Text Summarization with Python Code

Let me illustrate this Python Project in depth once again. AI: Sentiment Analysis and Fuzzy Sets based Summarization Technique — — Research based Approach (sample explanation with Python) Here, in this article I am proposing a novel technique to summarize text documents. Well I am not writing a research paper for it but giving youContinue reading “Fuzzy Logic Based based Text Summarization with Python Code”

Shortest Path in Text Data, AI-Exercise from Research Perspective

Here is next article, which is written from research perspective. The aim of article is to form a base to cover shortest path problems in Textual Data. Graph based algorithms have a huge potential to be used in Natural Language Processing and in many Graph based problems. In this article I introduce you how, howContinue reading “Shortest Path in Text Data, AI-Exercise from Research Perspective”

How Realistic is Automated AI based Image Generation: Art with DALL-E 2

Dall-E 2 is a new AI based toolkit that lets one make images which may not exist in real datasets on which this model was trained. It produces images given a text fragment or text description. This means given a statement, for example, “candles in air”, the AI system generates four or so images whichContinue reading “How Realistic is Automated AI based Image Generation: Art with DALL-E 2”

Sentence Vectors with various techniques: TF-IDF, LSA and Deep Learning, Spatially visualizing sentence vectors; With Python Code

#AI-excercise #ai #Excercise Comparing sentence vectors is interesting AI Exercise. This article takes text input, process it, and use three kinds of representations of the text data and does visualization of sentences in these three kinds of representations. The three kind of representations coved in this article are: 1. Tf Idf 2. Latent Semantic AnalysisContinue reading “Sentence Vectors with various techniques: TF-IDF, LSA and Deep Learning, Spatially visualizing sentence vectors; With Python Code”

Python Code for AI Exercise: Assigning Sentiment Assignments for unknown words with Large Language Models

#AI Excercise Github Link: Nidhika1121/LLM_Sentiments: LLM_Sentiments (github.com) Now, with this, exercise, sentiment can be assigned to the slangs in languages, even to unknown words, new words occurring in these times of app specific short words, added in our vocabulary. In last article, we saw the AI exercise what 5 class sentiment alignment means. However, theContinue reading “Python Code for AI Exercise: Assigning Sentiment Assignments for unknown words with Large Language Models”

Sentiment Analysis, a Quick Review of Essentials

This is first in series of evaluations of sentiment scores and applying these in useful applications. In coming articles you can see some applications of the topics introduced. Todays topic is of introduction of Sentiment Analysis. This is not a basic’s session but a review session. Sentiment Analysis can be defined in several ways. TheContinue reading “Sentiment Analysis, a Quick Review of Essentials”

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.

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”