AI Excercises

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

• Sentiment Analysis of Climate Text Data – Lesson 4
  In this article, we shall see how climate text data collected and computed for analysis in previous articles can be analyzed for sentiment analysis. The toolkit used today for textContinue reading “Sentiment Analysis of Climate Text Data – Lesson 4”
• Climate Data- NLP-based Textual Analysis- Part 2
  The dataset taken had 66 files and with total number of words being 97099. We know this dataset is small, given the topic is so important, but with our resourcesContinue reading “Climate Data- NLP-based Textual Analysis- Part 2”
• User Specific Word Vectors-Customized on Climate Data
  Here in this article, two ways are presented to self-train word vectors. This is highly useful if you do not wish to use word vectors trained on Wikipedia or twitterContinue reading “User Specific Word Vectors-Customized on Climate Data”
• Word2vec and the distance between words based on it
  This is a short article to show how the distance between words can be computed using word2vec. I often follow deep theoretical and large practical articles with small articles coveringContinue reading “Word2vec and the distance between words based on it”
• Predicting Preferred Working Hours with RNN GRU
  In this article, we propose to predict the preferred working hours by individuals based on the present inputs provided. Why this is required? As the work is preset and workContinue reading “Predicting Preferred Working Hours with RNN GRU”
• 360 degree Test for Intelligence for Machines
  Note: This article appears in full text on researchgate at following link in original: (PDF) 360 degree Test for Intelligence for Machines (researchgate.net) [ https://www.researchgate.net/publication/366824869_360_degree_Test_for_Intelligence_for_Machines%5D Turing Test, is one of the mostContinue reading “360 degree Test for Intelligence for Machines”