Abstract: This research develops a supervised learning framework for improved text summarization in Natural Language Processing (NLP) systems, including the aspects of text relevance, coherence and ...

polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...

Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...

The ORCA Python Interface (OPI) is a Python library to create input and parse output of ORCA. It is designed as an open source community effort to make ORCA calculations as accessible as possible and ...

Abstract: Given the rapid increase of textual data in various fields, text summarization has become essential for efficient information handling. Over recent decades, numerous methods have been ...