literature-visualization-tool's Introduction

Literature Visualization Tool

A visualization tool that allow users to organize 1591 of papers by score, frequency, and year. The interactive visualizations makes literature review much more efficient due to its many functionalities.

https://observablehq.com/d/94783b7756ead148@3099

Getting Started

View this notebook in your browser by running a web server in this folder. For example:

npx http-server

Or, use the Observable Runtime to import this module directly into your application. To npm install:

npm install @observablehq/runtime@4
npm install https://api.observablehq.com/d/[email protected]?v=3

Then, import your notebook and the runtime as:

import {Runtime, Inspector} from "@observablehq/runtime";
import define from "94783b7756ead148";

To log the value of the cell named “foo”:

const runtime = new Runtime();
const main = runtime.module(define);
main.value("foo").then(value => console.log(value));

Key Features

Data Cleaning - Used Python for data preprocessing on Google Colaboratory (preprocess_dataset_shao.ipynb)
- Inner join three different datasets and remove data rows with null value
- Extract data from .json file and reorganize it
Literature Review
- Easy to know the performance of thousands of AI papers
Research Trend - Easy to know the research topics in each year
Zoom in and out to prevent data overlap
Filters for folds, tasks, metrics, datasets, models and can be applied based on user preferences
- There are 11 folds, 56 tasks, 88 metrics, 245 datasets, 393 models
Mouse Hover
- Display paper details by hovering over the data
Y scale varies with filtered data for a better data visualization