Named entity recognition (NER) is an NLP technique that automatically identifies named entities in text and classifies them into predefined categories, such as names of people, organizations, and ...

Quickly preprocesses Japanese text using NLP/NER from SpaCy for Japanese translation or other NLP tasks. - GitHub - Bikatr7/Kairyou: ... The occurrence of the name in the input_text. Indexing_log is a ...

This repo hosts an Arabic Information Retrieval system, featuring text preprocessing, TF-IDF vectorization, and inverted indexing. It includes a Flask-based API for querying and retrieving documents.

Beyond theoretical contributions, the research has practical applications in automated image captioning, multimedia content indexing, and accessibility solutions for the visually impaired. This study ...

The Forrester Wave: Customer Feedback Management Platforms, Q2 2021 report recently stated, “Text analytics is table stakes, but not all text analytics capabilities are equal.

This model will assist Bloomberg in improving existing financial NLP tasks, such as sentiment analysis, named entity recognition, news classification, and question answering, among others.