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The Pros and Cons of using free datasets for Aspect-Based Sentiment Analysis

Defined.ai blog

Another advantage of open-source ABSA datasets is that they’re widely used and well-known in the natural language processing (NLP) community, meaning that there’s a wealth of information and support available for anyone using these datasets in their own projects. has your back.

NLP 52
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Using Hugging Face Transformers for Sentiment Analysis in R

Heartbeat

source: author Introduction Sentiment analysis is a rapidly growing field within the Natural Language Processing (NLP) domain, which deals with the automatic analysis and classification of emotions and opinions expressed in text. Hugging Face has created a pre-trained transformer model library for a variety of NLP tasks.

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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

AWS Machine Learning Blog

Rerank can improve the relevance of search results from lexical or semantic search. Rerank works by computing semantic relevance scores for documents that are retrieved by a search system and ranking the documents based on these scores. Adding Rerank to an application requires only a single line of code change.