NLP, Python, Spacy.
filename): db = DocBin() nlp = spacy.load('en_core_web_lg') total = len(dataset) print(f'{time()}: start processing {filename} with {total} files') for index, fileid in enumerate(dataset): print(f'Processing {index+1}/{total}') cat_dict = {cat: 0 for cat in reuters.categories()} for cat in