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Scholarly Insight through the ArXivExplore Paclet

Daniele Gregori, Soochow University
Institute for Advanced Study
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#WolframTechConf
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ABSTRACT

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abstract="ArXivExplore helps the deep data analysis of all 2.6M physics, math, computer science, etc. articles on ArXiv, providing functionality for e.g. title/abstract word statistics, TeX source/formulae/citations dissection, NNs for classification or recommendation and LLM-automated concept explanations and author reports.";
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Paclet loading

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Introduction

On ArXiv

A “deep data” problem

Academic “chat” vs scientific “insight”

Some ArXiv questions

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ArXiv data mining

ArXiv main data

Categories

Full
T
E
X
scraping

Citations API

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Real insights from “just counting”

Submission trends

Counting total words

Word popularity trends

Word logic combinations

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Some Machine Learning

Basic classification

Advanced training

Feature extraction

Clustering

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LLMs to enhance understanding

The importance of introductions

Explaining specific concepts

Creating author reports

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Conclusions

Unlimited explorations

Planned improvements

New horizons in “deep data”

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Thank you!

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