Python is a popular programming language extensively used in various applications including Natural Language Processing (NLP). Sentiment analysis, a frequent NLP task, aids in understanding the ...

The NLP features in Polyglot echo what’s found in other NLP libraries: tokenization, named entity recognition, part-of-speech tagging, sentiment analysis, word embeddings, etc.

Intel today revealed that as of version 0.4, NLP Architect includes models for a particular type of sentiment analysis dubbed aspect-based sentiment analysis (ABSA).

NLP libraries capable of performing sentiment analysis include HuggingFace, SpaCy, Flair, and AllenNLP. In addition, some low-code machine language tools also support sentiment analysis, including ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

Related: 5 natural language processing (NLP) libraries to use Specifically, this article looks at sentiment analysis, chatbots , machine translation, text summarization and speech recognition as ...

NLP sentiment analysis goes a long way in telling you how customers feel about your brand or product in their own words. Speak to our big data analytics experts for personalized recommendations on ...

Common tools for sentiment analysis include: • Google Cloud NLP for text analysis. • IBM Watson for sentiment shifts through AI. • FinSentS for extracting financial insights from sentiment data.