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Analytics by Babel Street

PyPI versionPython Versions

Our product is a full text processing pipeline from data preparation to extracting the most relevant information and analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for high-speed search and processing without translation.

Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the structure of associating those entities into events that deliver only the necessary information for near real-time decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.

The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help filter results to what’s relevant.

Analytics API Access

Quick Start

Installation

pip install rosette_api

Examples

View small example programs for each Analytics endpoint in the examples directory.

Documentation & Support

Binding Developer Information

If you are modifying the binding code, please refer to the developer README file.

About

Babel Street Analytics Client Library for Python

Topics

categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization

Resources

Readme
License
Activity
Custom properties

Stars

38 stars

Watchers

14 watching

Forks

37 forks
Report repository

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Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
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() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - rosette-api/python: Babel Street Analytics Client Library for Python · GitHub
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BranchesTags
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Babel Street Logo
Analytics by Babel Street
PyPI versionPython Versions
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
Analytics API Access
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint
in the examples directory.
Documentation & Support
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
About
Babel Street Analytics Client Library for Python
Topics
categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization
Resources
Readme
License
Activity
Custom properties
Stars
38 stars
Watchers
14 watching
Forks
37 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
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; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - rosette-api/python: Babel Street Analytics Client Library for Python · GitHub
Skip to content
BranchesTags
Repository files navigation
Babel Street Logo
Analytics by Babel Street
PyPI versionPython Versions
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
Analytics API Access
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint
in the examples directory.
Documentation & Support
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
About
Babel Street Analytics Client Library for Python
Topics
categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization
Resources
Readme
License
Activity
Custom properties
Stars
38 stars
Watchers
14 watching
Forks
37 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - rosette-api/python: Babel Street Analytics Client Library for Python · GitHub
Skip to content
BranchesTags
Repository files navigation
Babel Street Logo
Analytics by Babel Street
PyPI versionPython Versions
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
Analytics API Access
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint
in the examples directory.
Documentation & Support
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
About
Babel Street Analytics Client Library for Python
Topics
categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization
Resources
Readme
License
Activity
Custom properties
Stars
38 stars
Watchers
14 watching
Forks
37 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// 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 - rosette-api/python: Babel Street Analytics Client Library for Python · GitHub
Skip to content
BranchesTags
Repository files navigation
Babel Street Logo
Analytics by Babel Street
PyPI versionPython Versions
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
Analytics API Access
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint
in the examples directory.
Documentation & Support
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
About
Babel Street Analytics Client Library for Python
Topics
categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization
Resources
Readme
License
Activity
Custom properties
Stars
38 stars
Watchers
14 watching
Forks
37 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// 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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - rosette-api/python: Babel Street Analytics Client Library for Python · GitHub
Skip to content
BranchesTags
Repository files navigation
Babel Street Logo
Analytics by Babel Street
PyPI versionPython Versions
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
Analytics API Access
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint
in the examples directory.
Documentation & Support
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
About
Babel Street Analytics Client Library for Python
Topics
categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization
Resources
Readme
License
Activity
Custom properties
Stars
38 stars
Watchers
14 watching
Forks
37 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
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';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - rosette-api/python: Babel Street Analytics Client Library for Python · GitHub
Skip to content
BranchesTags
Repository files navigation
Babel Street Logo
Analytics by Babel Street
PyPI versionPython Versions
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
Analytics API Access
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint
in the examples directory.
Documentation & Support
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
About
Babel Street Analytics Client Library for Python
Topics
categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization
Resources
Readme
License
Activity
Custom properties
Stars
38 stars
Watchers
14 watching
Forks
37 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
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();
console.log('[Universal Dark Mode] Enabled');
} 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); }
})();
})();
GitHub - rosette-api/python: Babel Street Analytics Client Library for Python · GitHub
Skip to content
BranchesTags
Repository files navigation
Babel Street Logo
Analytics by Babel Street
PyPI versionPython Versions
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
Analytics API Access
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint
in the examples directory.
Documentation & Support
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
About
Babel Street Analytics Client Library for Python
Topics
categorizationentity-extractionfuzzy-matchinglanguage-detectionlanguage-identificationlemmatizationmachine-learningmorphologyname-generationname-similarityname-translationnatural-language-processingnlppythonrelation-extractionsentiment-analysistexttext-analysistext-miningtokenization
Resources
Readme
License
Activity
Custom properties
Stars
38 stars
Watchers
14 watching
Forks
37 forks
Report repository
Releases
Packages
Used by
Contributors
Languages