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pytorch >= 0.4.0 numpy >= 1.13.3 sklearn python 3.6 / 3.7 transformers To install requirements, run pip install -r requirements.txt. For non-BERT-based models, GloVe ...

TensorFlow, PyTorch, and Keras enable advanced deep learning applications. Scikit-learn, XGBoost, and LightGBM handle structured data efficiently. LangChain, Ollama, and Anthropic SDK support advanced ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks. New libraries like JAX, Polars, and LangChain offer speed, scalability, and real-time ML ...

The objective was to evaluate their relative performance, understand trade-offs, and determine the most suitable model for sentiment analysis in real-world applications. Dataset used amazon_alexa ...

Abstract: The volume of user-generated content that the social media space, particularly that of Reddit, produces is unprecedented, which now can be considered an excellent source of analysis for the ...

Sentiment analysis aims to classify text based on the opinion or mentality expressed in a situation, which can be positive, negative, or neutral. Therefore, in the world, a lot of opinions are ...

Python is a versatile and powerful programming language that is widely used in various domains, including web development, data science, machine learning, artificial intelligence, automation, and more ...