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Impact of images in ESG reports on ESG ratings based on Clip model

Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.

What is this project all about

This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning. Hypothesis DevelopmentTechRoadmap

The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.

Installation

To get started, run the command line in your designated environment with: pip install -r requirements.txt

Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.

Sample run

Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").

Warning

Running main.py can only compute the original data based on the CLIP model.

About

The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

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0 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Impact of images in ESG reports on ESG ratings based on Clip model
Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
What is this project all about
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
Hypothesis DevelopmentTechRoadmap
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
Installation
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Sample run
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Warning
Running main.py can only compute the original data based on the CLIP model.
About
The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Impact of images in ESG reports on ESG ratings based on Clip model
Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
What is this project all about
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
Hypothesis DevelopmentTechRoadmap
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
Installation
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Sample run
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Warning
Running main.py can only compute the original data based on the CLIP model.
About
The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Impact of images in ESG reports on ESG ratings based on Clip model
Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
What is this project all about
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
Hypothesis DevelopmentTechRoadmap
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
Installation
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Sample run
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Warning
Running main.py can only compute the original data based on the CLIP model.
About
The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Impact of images in ESG reports on ESG ratings based on Clip model
Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
What is this project all about
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
Hypothesis DevelopmentTechRoadmap
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
Installation
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Sample run
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Warning
Running main.py can only compute the original data based on the CLIP model.
About
The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Impact of images in ESG reports on ESG ratings based on Clip model
Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
What is this project all about
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
Hypothesis DevelopmentTechRoadmap
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
Installation
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Sample run
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Warning
Running main.py can only compute the original data based on the CLIP model.
About
The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Impact of images in ESG reports on ESG ratings based on Clip model
Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
What is this project all about
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
Hypothesis DevelopmentTechRoadmap
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
Installation
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Sample run
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Warning
Running main.py can only compute the original data based on the CLIP model.
About
The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
Impact of images in ESG reports on ESG ratings based on Clip model
Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
What is this project all about
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
Hypothesis DevelopmentTechRoadmap
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
Installation
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Sample run
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Warning
Running main.py can only compute the original data based on the CLIP model.
About
The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages