What Tools are Commonly Used for Text Mining in Catalysis?
Several tools and software packages are commonly used for text mining in catalysis, including natural language processing (NLP) libraries like NLTK and spaCy, as well as machine learning frameworks such as TensorFlow and PyTorch. These tools enable researchers to preprocess text data, build models, and extract valuable insights efficiently.
