Enhancing Sentiment Analysis with ELMo Embeddings: A TensorFlow Experiment

Enhancing Sentiment Analysis with ELMo Embeddings: A TensorFlow Experiment

ByKishore

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…

Exploring Named Entity Recognition with Conditional Random Fields
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Exploring Named Entity Recognition with Conditional Random Fields

ByKishore

Named Entity Recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying entities, such as names of people, organizations, and locations, within a text. NER plays a crucial role in various applications, including information retrieval, question answering, and text summarization. In this blog post, we’ll dive into the world of…