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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).

Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).

There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.

Note on canned data

public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.

Generating matrix image files

(This is mostly a note to myself so I don't forget.)

  • set config.debug = true
  • in browser, press 'batch export' button
    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)

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React web app for drawing self-similarity matrices from text

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
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btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
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setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
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(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - ProjectRecommend/SongSim: React web app for drawing self-similarity matrices from text · GitHub
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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).
Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).
There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.
Note on canned data
public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.
Generating matrix image files
(This is mostly a note to myself so I don't forget.)
  • set config.debug = true
  • in browser, press 'batch export' button

    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)
About
React web app for drawing self-similarity matrices from text
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var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
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document.head.appendChild(style);
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try {
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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).
Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).
There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.
Note on canned data
public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.
Generating matrix image files
(This is mostly a note to myself so I don't forget.)
  • set config.debug = true
  • in browser, press 'batch export' button

    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)
About
React web app for drawing self-similarity matrices from text
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var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
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if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
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var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
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var span = document.createElement('span');
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ProjectRecommend/SongSim: React web app for drawing self-similarity matrices from text · GitHub
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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).
Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).
There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.
Note on canned data
public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.
Generating matrix image files
(This is mostly a note to myself so I don't forget.)
  • set config.debug = true
  • in browser, press 'batch export' button

    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)
About
React web app for drawing self-similarity matrices from text
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, 'i');
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// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - ProjectRecommend/SongSim: React web app for drawing self-similarity matrices from text · GitHub
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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).
Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).
There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.
Note on canned data
public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.
Generating matrix image files
(This is mostly a note to myself so I don't forget.)
  • set config.debug = true
  • in browser, press 'batch export' button

    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)
About
React web app for drawing self-similarity matrices from text
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, 'i');
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// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
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GitHub - ProjectRecommend/SongSim: React web app for drawing self-similarity matrices from text · GitHub
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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).
Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).
There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.
Note on canned data
public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.
Generating matrix image files
(This is mostly a note to myself so I don't forget.)
  • set config.debug = true
  • in browser, press 'batch export' button

    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)
About
React web app for drawing self-similarity matrices from text
Resources
Readme
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// Remove or un-stick sticky/fixed headers that block content
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function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
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var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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GitHub - ProjectRecommend/SongSim: React web app for drawing self-similarity matrices from text · GitHub
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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).
Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).
There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.
Note on canned data
public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.
Generating matrix image files
(This is mostly a note to myself so I don't forget.)
  • set config.debug = true
  • in browser, press 'batch export' button

    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)
About
React web app for drawing self-similarity matrices from text
Resources
Readme
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Stars
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// Universal Dark Mode - works on any site
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var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
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} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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A little web app for making interactive self-similarity matrices from text (in particular, song lyrics and poetry).
Given a text of length n tokens, constructs an n x n matrix, where (i, j) is filled in iff the ith and jth words are the same (after some normalization).
There are lots of examples of researchers constructing self-similarity matrices from raw audio features for the purposes of visualization or segmentation (e.g. 1, 2), which I drew inspiration from. I don't know of any previous applications of the technique to lyrics/verse.
Note on canned data
public/canned contains a bunch of text files with examples of verse (pop songs, poems, nursery rhymes, etc.). Some of these works are in the public domain, and some are not. I don't own any of that content (and the license on the software in this repo does not extend to those files). My use of the songs which are under copyright is presumed to be fair, given the transformativeness of the use, and that purpose of use is educational and non-commercial.
Generating matrix image files
(This is mostly a note to myself so I don't forget.)
  • set config.debug = true
  • in browser, press 'batch export' button

    • (this will respect all current settings wrt color, single-word matches, etc.)
  • unzip
  • run pngify.sh
  • move pngs to public/img/gallery (or wherever else they're needed)
About
React web app for drawing self-similarity matrices from text
Resources
Readme
License
Activity
Custom properties
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