Tools

Interactive browser-based tools for text analysis — no installation required

Great Court, The University of Queensland

LADAL tools are self-contained interactive tools that run entirely in your browser — no installation of R or any other software is required.

LADAL offers two types of tools:

Shiny Tools — polished point-and-click applications hosted on ARDC BinderHub. Requires an Australian or New Zealand institutional login (AAF or Tuakiri). Jump to Shiny tools ↓
Jupyter Notebook Tools — interactive R notebooks available to everyone worldwide via MyBinder. No login required. Jump to Jupyter tools ↓

Shiny Tools

What are Shiny Tools? These are polished, point-and-click R Shiny applications that run in your browser with no coding required. They are hosted on ARDC BinderHub, an Australian research computing platform.

Click any Launch ↗ button below to start a tool. Startup typically takes 1–3 minutes while the environment loads. The tool opens directly in a new tab.

🔒 Login required: Shiny Tools are hosted on ARDC BinderHub, which requires an Australian or New Zealand university login via AAF or Tuakiri. If you do not have access to an AAF/Tuakiri institution, please use the Jupyter Notebook Tools below — they cover the same core tasks and are open to everyone worldwide.

Tool	Description	Related tutorial	Launch
✏️ FileRenamer	Batch rename plain-text files using find-and-replace, numbering, or prefix/suffix rules	String Processing	Launch ↗
🧹 TextCleaner	Remove XML/HTML tags, punctuation, URLs, and more; preview and download cleaned texts	String Processing	Launch ↗
🏷️ POSTagger	Part-of-speech tagging and dependency parsing in 65+ languages via UDPipe	Tagging and Parsing	Launch ↗
🔍 WordFinder	KWIC concordancing — search for words or phrases and sort by context	Concordancing	Launch ↗
🔑 KeywordExtractor	Keyness analysis — identify statistically distinctive vocabulary vs. a reference corpus	Keyword Analysis	Launch ↗
🕸️ WordWebber	Word co-occurrence networks scored by Mutual Information; download as PNG or CSV	Network Analysis	Launch ↗
💬 SentimentExplorer	Polarity and eight NRC emotion categories scored across uploaded texts	Sentiment Analysis	Launch ↗
🔗 CollocationCalculator	MI, t-score, log-likelihood, and more for collocations in your corpus	Collocation Analysis	Launch ↗
📊 TopicDetector	Unsupervised and seeded LDA topic modelling with interactive topic and term controls	Topic Modelling	Launch ↗

Jupyter Notebook Tools

What are Jupyter Notebook tools? These are interactive R notebooks that run in a JupyterLab environment in your browser — no installation required, and available to everyone worldwide.

🌐 Launch via MyBinder — a community-run open platform. Free for everyone, no account needed. Startup typically takes 2–3 minutes. Click any Launch button below to get started.

Tool	Description	Related tutorial	Launch
🔍 Concordance Explorer	KWIC concordancing — search for words or phrases across your texts and sort by context	Concordancing	Launch
🧹 Text Cleaner	Remove or replace words, XML/HTML tags, URLs, and text patterns using built-in options or regex	String Processing	Launch
🏷️ Part-of-Speech Tagger	Tokenise, lemmatise, and POS-tag texts in 65+ languages using UDPipe; results download as a tidy table	Tagging and Parsing	Launch
🔗 Collocation Analyser	Calculate MI, t-score, log-likelihood, and other association measures for collocations in your corpus	Collocation Analysis	Launch
🔑 Keyword Finder	Identify statistically distinctive vocabulary in a target corpus vs. a reference corpus using G², chi-squared, and log-ratio	Keyword Analysis	Launch
🕸️ Network Visualiser	Create and explore network graphs from edge-list data; customise layout, node size, and colour	Network Analysis	Launch
📊 Topic Explorer	Discover latent themes across a text collection using LDA topic modelling with interactive controls	Topic Modelling	Launch
💬 Sentiment Explorer	Score texts for positive/negative polarity and eight basic NRC emotion categories; visualise across documents	Sentiment Analysis	Launch
📖 Readability Analyser	Compute Flesch, Flesch-Kincaid, Gunning Fog, SMOG, and Coleman-Liau readability scores for uploaded texts; compare across documents with summary tables and plots	Readability Analysis	Launch

Reporting Errors

🔧

Something not working?

If a tool fails to launch or behaves unexpectedly, please email Martin at m.schweinberger@uq.edu.au. When reporting an error, please include the tool name and a brief description of what happened. We will investigate and resolve issues as quickly as we can — thank you for letting us know.

--- title: "Tools" subtitle: "Interactive browser-based tools for text analysis — no installation required" toc: true toc-depth: 2 --- ```{=html} <style> /* ── Section intro box ───────────────────────────────────────────── */ .section-intro { background: #faf7fd; border: 1px solid #e0d4f0; border-left: 4px solid #51247A; border-radius: 6px; padding: 16px 20px; margin: 0 0 1.8rem 0; font-size: 0.87rem; color: #444; line-height: 1.65; } .section-intro strong { color: #51247A; } /* ── Login notice banner ─────────────────────────────────────────── */ .login-notice { background: #f0f7ff; border: 1px solid #b8d4f0; border-left: 4px solid #4085C6; border-radius: 6px; padding: 12px 18px; margin: 0 0 1.4rem 0; font-size: 0.84rem; color: #333; line-height: 1.6; } .login-notice strong { color: #2a5ea8; } /* ── Tool tables (shared) ────────────────────────────────────────── */ .tool-table { width: 100%; border-collapse: collapse; font-size: 0.82rem; margin-top: 0.5rem; } .tool-table th { text-align: left; padding: 8px 12px; background: #f0eaf7; color: #51247A; font-weight: 700; border-bottom: 2px solid #d0c4e8; } .tool-table td { padding: 8px 12px; border-bottom: 1px solid #f0eaf7; color: #555; vertical-align: middle; } .tool-table tr:last-child td { border-bottom: none; } .tool-table tr:hover td { background: #faf7fd; } .tool-table .tool-name { font-weight: 600; color: #444; white-space: nowrap; } .tool-table a.tut-link { color: #51247A; font-weight: 600; text-decoration: none; font-size: 0.78rem; } .tool-table a.tut-link:hover { color: #00A2C7; text-decoration: underline; } /* ── Launch buttons in tables ────────────────────────────────────── */ a.launch-btn { display: inline-block; text-decoration: none !important; font-weight: 700; font-size: 0.74rem; padding: 4px 11px; border-radius: 4px; transition: all 0.12s; white-space: nowrap; border: 1px solid; } a.launch-btn.shiny { background: #e8f7ee; color: #1a7a20 !important; border-color: #5cb870; } a.launch-btn.shiny:hover { background: #27ae60; color: white !important; border-color: #27ae60; } a.launch-btn.mybinder { background: #f5f5f5; color: #333 !important; border-color: #ccc; } a.launch-btn.mybinder:hover { background: #e8e8e8; border-color: #999; } /* ── Error card ──────────────────────────────────────────────────── */ .error-card { background: #fff; border: 1px solid #e8e4f0; border-left: 4px solid #962A8B; border-radius: 6px; padding: 18px 22px; margin: 2rem 0; display: flex; align-items: flex-start; gap: 14px; } .error-card .ec-icon { font-size: 1.4rem; flex-shrink: 0; margin-top: 1px; } .error-card h4 { margin: 0 0 6px 0; font-size: 0.95rem; color: #51247A; font-weight: 700; } .error-card p { margin: 0; font-size: 0.875rem; color: #444; line-height: 1.6; } .error-card a { color: #51247A; font-weight: 600; } @media (max-width: 700px) { .tool-table th:nth-child(3), .tool-table td:nth-child(3) { display: none; } } </style> ``` ![Great Court, The University of Queensland](/images/uq1.jpg){width="100%" height="200px" loading="lazy"} LADAL tools are self-contained interactive tools that run entirely in your browser — no installation of R or any other software is required. LADAL offers two types of tools: - **Shiny Tools** — polished point-and-click applications hosted on ARDC BinderHub. Requires an Australian or New Zealand institutional login (AAF or Tuakiri). [Jump to Shiny tools ↓](#shiny-tools) - **Jupyter Notebook Tools** — interactive R notebooks available to **everyone worldwide** via MyBinder. No login required. [Jump to Jupyter tools ↓](#jupyter-tools) --- ## Shiny Tools {#shiny-tools} ```{=html} <div class="section-intro"> <strong>What are Shiny Tools?</strong> These are polished, point-and-click R Shiny applications that run in your browser with no coding required. They are hosted on <strong>ARDC BinderHub</strong>, an Australian research computing platform.<br><br> Click any <strong>Launch ↗</strong> button below to start a tool. Startup typically takes 1–3 minutes while the environment loads. The tool opens directly in a new tab. </div> <div class="login-notice"> 🔒 <strong>Login required:</strong> Shiny Tools are hosted on ARDC BinderHub, which requires an Australian or New Zealand university login via <strong>AAF</strong> or <strong>Tuakiri</strong>. If you do not have access to an AAF/Tuakiri institution, please use the <a href="#jupyter-tools" style="color:#2a5ea8;font-weight:600;">Jupyter Notebook Tools below</a> — they cover the same core tasks and are open to everyone worldwide. </div> <table class="tool-table"> <thead> <tr> <th>Tool</th> <th>Description</th> <th>Related tutorial</th> <th>Launch</th> </tr> </thead> <tbody> <tr> <td class="tool-name">✏️ FileRenamer</td> <td>Batch rename plain-text files using find-and-replace, numbering, or prefix/suffix rules</td> <td><a class="tut-link" href="/tutorials/string/string.html">String Processing</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Ffilerenamer%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">🧹 TextCleaner</td> <td>Remove XML/HTML tags, punctuation, URLs, and more; preview and download cleaned texts</td> <td><a class="tut-link" href="/tutorials/string/string.html">String Processing</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Ftextcleaner%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">🏷️ POSTagger</td> <td>Part-of-speech tagging and dependency parsing in 65+ languages via UDPipe</td> <td><a class="tut-link" href="/tutorials/pos_tagging/pos_tagging.html">Tagging and Parsing</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Fpostagger%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">🔍 WordFinder</td> <td>KWIC concordancing — search for words or phrases and sort by context</td> <td><a class="tut-link" href="/tutorials/concordancing/concordancing.html">Concordancing</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Fwordfinder%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">🔑 KeywordExtractor</td> <td>Keyness analysis — identify statistically distinctive vocabulary vs. a reference corpus</td> <td><a class="tut-link" href="/tutorials/keywords/keywords.html">Keyword Analysis</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Fkeywordextractor%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">🕸️ WordWebber</td> <td>Word co-occurrence networks scored by Mutual Information; download as PNG or CSV</td> <td><a class="tut-link" href="/tutorials/network_analysis/network_analysis.html">Network Analysis</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Fwordwebber%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">💬 SentimentExplorer</td> <td>Polarity and eight NRC emotion categories scored across uploaded texts</td> <td><a class="tut-link" href="/tutorials/sentiment/sentiment.html">Sentiment Analysis</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Fsentimentexplorer%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">🔗 CollocationCalculator</td> <td>MI, t-score, log-likelihood, and more for collocations in your corpus</td> <td><a class="tut-link" href="/tutorials/collocations/collocations.html">Collocation Analysis</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Fcollocationcalculator%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> <tr> <td class="tool-name">📊 TopicDetector</td> <td>Unsupervised and seeded LDA topic modelling with interactive topic and term controls</td> <td><a class="tut-link" href="/tutorials/topic/topic.html">Topic Modelling</a></td> <td><a class="launch-btn shiny" href="https://binderhub.rc.nectar.org.au/v2/gh/SLCLADAL/tools-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Ftools%26urlpath%3Dshiny%252Ftools%252Ftopicdetector%252F%26branch%3Dmain" target="_blank" rel="noopener">Launch ↗</a></td> </tr> </tbody> </table> ``` --- ## Jupyter Notebook Tools {#jupyter-tools} ```{=html} <div class="section-intro"> <strong>What are Jupyter Notebook tools?</strong> These are interactive R notebooks that run in a JupyterLab environment in your browser — no installation required, and available to <strong>everyone worldwide</strong>.<br><br> <strong>🌐 Launch via MyBinder</strong> — a community-run open platform. Free for everyone, no account needed. Startup typically takes 2–3 minutes. Click any <strong>Launch</strong> button below to get started. </div> <table class="tool-table"> <thead> <tr> <th>Tool</th> <th>Description</th> <th>Related tutorial</th> <th>Launch</th> </tr> </thead> <tbody> <tr> <td class="tool-name">🔍 Concordance Explorer</td> <td>KWIC concordancing — search for words or phrases across your texts and sort by context</td> <td><a class="tut-link" href="/tutorials/concordancing/concordancing.html">Concordancing</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Fconcordance_explorer.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">🧹 Text Cleaner</td> <td>Remove or replace words, XML/HTML tags, URLs, and text patterns using built-in options or regex</td> <td><a class="tut-link" href="/tutorials/string/string.html">String Processing</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Ftext_cleaner.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">🏷️ Part-of-Speech Tagger</td> <td>Tokenise, lemmatise, and POS-tag texts in 65+ languages using UDPipe; results download as a tidy table</td> <td><a class="tut-link" href="/tutorials/pos_tagging/pos_tagging.html">Tagging and Parsing</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Fpos_tagger.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">🔗 Collocation Analyser</td> <td>Calculate MI, t-score, log-likelihood, and other association measures for collocations in your corpus</td> <td><a class="tut-link" href="/tutorials/collocations/collocations.html">Collocation Analysis</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Fcollocation_analyser.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">🔑 Keyword Finder</td> <td>Identify statistically distinctive vocabulary in a target corpus vs. a reference corpus using G², chi-squared, and log-ratio</td> <td><a class="tut-link" href="/tutorials/keywords/keywords.html">Keyword Analysis</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Fkeyword_finder.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">🕸️ Network Visualiser</td> <td>Create and explore network graphs from edge-list data; customise layout, node size, and colour</td> <td><a class="tut-link" href="/tutorials/network_analysis/network_analysis.html">Network Analysis</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Fnetwork_visualiser.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">📊 Topic Explorer</td> <td>Discover latent themes across a text collection using LDA topic modelling with interactive controls</td> <td><a class="tut-link" href="/tutorials/topic/topic.html">Topic Modelling</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Ftopic_explorer.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">💬 Sentiment Explorer</td> <td>Score texts for positive/negative polarity and eight basic NRC emotion categories; visualise across documents</td> <td><a class="tut-link" href="/tutorials/sentiment/sentiment.html">Sentiment Analysis</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Fsentiment_explorer.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> <tr> <td class="tool-name">📖 Readability Analyser</td> <td>Compute Flesch, Flesch-Kincaid, Gunning Fog, SMOG, and Coleman-Liau readability scores for uploaded texts; compare across documents with summary tables and plots</td> <td><a class="tut-link" href="https://ladal.edu.au/tutorials/readability/readability.html">Readability Analysis</a></td> <td><a class="launch-btn mybinder" href="https://mybinder.org/v2/gh/SLCLADAL/jupyter-env/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FSLCLADAL%252Fjupyter%26urlpath%3Dlab%252Ftree%252Fjupyter%252Fnotebooks%252Freadability_analyser.ipynb%26branch%3Dmain" target="_blank" rel="noopener">Launch</a></td> </tr> </tbody> </table> ``` --- ## Reporting Errors {#errors} ```{=html} <div class="error-card"> <div class="ec-icon">🔧</div> <div> <h4>Something not working?</h4> <p>If a tool fails to launch or behaves unexpectedly, please email Martin at <a href="mailto:m.schweinberger@uq.edu.au">m.schweinberger@uq.edu.au</a>. When reporting an error, please include the tool name and a brief description of what happened. We will investigate and resolve issues as quickly as we can — thank you for letting us know.</p> </div> </div> ``` --- [Back to top](#shiny-tools) | [Back to HOME](/)