Category: Learning modules

By Abhinash Jena & Priya Chetty on March 25, 2025 No Comments

The study analyzes the various environmental indicators used by companies to report their sustainability efforts. using Principal Component Analysis (PCA), a statistical technique, to reduce the number of environmental indicators to the most relevant ones.

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By Abhinash Jena on March 14, 2025 1 Comment

Machine learning is a transformative branch of artificial intelligence (AI) focused on developing algorithms that enable computers to learn from data (Talwar & Kumar, 2013). Instead of following rigid, predefined rules, machine learning systems improve their performance over time by identifying patterns and relationships in data.

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By Abhinash Jena on March 4, 2025 No Comments

The Valence Aware Dictionary and Sentiment Reasoner (VADER) is a lexicon-based sentiment analysis tool that uses a lexicon dictionary to assign predefined sentiment scores.

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By Abhinash Jena on February 26, 2025 2 Comments

Rule-based sentiment analysis is a pragmatic choice for specific use cases, especially where transparency, speed, or cost matter.

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By Abhinash Jena on February 20, 2025 3 Comments

Lexical normalisation is the process of converting noisy, informal, or misspelled text into its standardized form.

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By Abhinash Jena on February 14, 2025 3 Comments

Natural language processing is a field of AI that deals with the interaction between computers and human language. It helps machines understand, interpret, and generate human language

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By Priya Chetty on February 12, 2025 1 Comment

Intensifying competition, affordable prices, and easy access to finance have triggered exponential growth in the automobile sector over the last half-century. This has brought the spotlight to the issue of environmental sustainability, to maintain the availability of resources for a long time.

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By Abhinash Jena on February 11, 2025 2 Comments

Sentiment analysis helps to detect different emotions like happiness, anger, or sadness in a phrase or text like product review, feedback, comments or opinions in a social network.

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