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 ...

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 ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Earlier, the use of NLP for sentiment analysis was restricted to tech giants such as Google and Amazon, which had more data and AI and ML engineers to experiment with it.

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.

Ping An of China Asset Management (PAAMC) in Hong Kong—the asset management arm and a wholly-owned subsidiary of China’s largest insurer, Ping An Insurance (Group) Company of China—is looking to ...

Sentiment analysis, ESG insights from over 5 million companies. The SESAMm technology has found use by data and business teams including ESG (environmental, social and governance) specialists ...