AI Excercises

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

• 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 timesContinue reading “Python Code for AI Exercise: Assigning Sentiment Assignments for unknown words with Large Language Models”
• Sentiments with Large Language Models as multi-class classifications problem
    Abstract: Sentiment analysis has been a topic of many researches and interest. In this article, computational steps are shown and worked out to show, how we can have multipleContinue reading “Sentiments with Large Language Models as multi-class classifications problem”
• 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 topicContinue 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 topicsContinue reading “Soft Rough Sets for Textual Data Analytics and Language Processing”
• 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 fromContinue 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. HenceContinue reading “Decision Trees and Futuristic Applications”