Tag: #TextClassification
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Enhancing Sentiment Analysis with ELMo Embeddings: A TensorFlow Experiment
Introduction Natural Language Processing (NLP) has witnessed a significant boost with the advent of transfer learning. In this blog post, we explore ELMo Embeddings, a cutting-edge approach to word embeddings, leveraging a large unlabelled text corpus for enhanced sentiment analysis. We’ll delve into the implementation using TensorFlow and TensorFlow Hub. Preparation Let’s start by setting…
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Unveiling the Power of Principal Component Analysis (PCA)
Introduction In the vast landscape of machine learning, we’ve delved into supervised learning methods for predicting labels based on labeled training data. Now, let’s embark on a journey into the realm of unsupervised learning. Here, the focus is on algorithms that uncover intriguing aspects of data without relying on any known labels. One such workhorse…