Abstract: This paper proposes a benchmark analysis of various similarity metrics and text vectorization methods applied to content-based product recommendation systems in e-commerce. It presents an ...

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.

Abstract: In recent years, optimizing classification pipelines has become increasingly critical due to the growing volume of textual data and the computational challenges associated with exhaustive ...

Description: Text sentiment classification starting from raw text files. We are only interested in the `pos` and `neg` subfolders, so let's delete the other subfolder that has text files in it: ...

ABSTRACT: The question whether R2 represents information or noise is still a fundamental question in the study of stock price synchronicity. There are two main difficulties. Firstly, the trait ...

Although numeric data is easy to work with in Python, most knowledge created by humans is actually raw, unstructured text. By learning how to transform text into data that is usable by machine ...