Tag: python-coding
This article explores a robust, adaptive framework for incremental learning for sentiment analysis using the SGD Classifier.
coding, module-56, python-coding, sentiment analysis applicationIncremental learning also known as continuous learning is a crucial paradigm in machine learning that enables models to adapt over time. The world is generating an enormous amount of data, often in continuous streams, which makes traditional data analysis methods difficult.
coding, module-56, python-coding, sentiment analysis applicationObject-oriented programming (OOP) is a fundamental approach to problem-solving and structuring lines of code. Instead of focusing solely on logic or functions, with this approach, a software solution is organised around objects.
code design, code structure, module-49, python-coding, sample programRAPIDS cuDF provides a pandas-like interface but is designed to leverage NVIDIA GPUs for accelerated data processing using CUDA.
coding, goal-2, milestone-546, module-56, python-coding, sentiment analysis applicationThe overwhelming volume of social media data has created complex challenges for digital governance and policy-making, particularly in identifying and addressing social bias embedded in online discourse.
basics of sentiment analysis, module-56, python-codingFine-tuning a pre-trained model involves taking a model already trained on a large, general dataset and adapting it to perform well on a smaller, specific task dataset. Transformers is a library of several pre-trained large language models (LLMs) available as open source for training and inference (Hugging Face, n.d.-b). Transformer models are language models that […]
basics of sentiment analysis, module-56, python-codingThe 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.
module-50, python-coding, secondary data analysis, sustainability report analysisMachine 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.
basics of sentiment analysis, module-56, python-coding, regression analysis