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SPdevALK 🐘️ ☑️<p>The <a href="https://mas.to/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a> devs have made an update available the will make it all work with python 3.13. Excellent!</p><p><a href="https://github.com/explosion/spaCy/issues/13658#issuecomment-2901075547" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/explosion/spaCy/iss</span><span class="invisible">ues/13658#issuecomment-2901075547</span></a></p><p>Prerequisites:<br>- you need to have a Rust compiler installed (rustc)<br>- Install the following python3 modules 'keyphrase-vectorizers keybert spacy==3.8.7'<br>- Download the spaCy language module like so 'python3 -m spacy download en_core_web_sm --break-system-packages'</p>
SPdevALK 🐘️ ☑️<p>The use of *Offline* <a href="https://mas.to/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://mas.to/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalLanguageProcessing</span></a> and models (aka <a href="https://mas.to/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a>) have always intrigued me.</p><p>Learn how to use <a href="https://mas.to/tags/KeyBERT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KeyBERT</span></a> <a href="https://mas.to/tags/KeyphraseVectorizers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KeyphraseVectorizers</span></a> (made possible by the awesome <a href="https://mas.to/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a> models) to enhance Markdown blogposts with automatically generated keywords.</p><p><a href="https://www.spdevalk.nl/blog/post-adding-key-phrases-to-jekyll-blog-posts-_-the-offline-edition/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spdevalk.nl/blog/post-adding-k</span><span class="invisible">ey-phrases-to-jekyll-blog-posts-_-the-offline-edition/</span></a></p>
Lex<p><span class="h-card" translate="no"><a href="https://mastodonapp.uk/@ancientsounds" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ancientsounds</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/linguistics" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>linguistics</span></a></span> Thanks, but I'm more looking for <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> tools like for example, looks like <a href="https://mastodon.social/tags/Spacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spacy</span></a> supports <a href="https://mastodon.social/tags/Finnish" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Finnish</span></a> <a href="https://spacy.io/usage/models" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">spacy.io/usage/models</span><span class="invisible"></span></a> but not <a href="https://mastodon.social/tags/Turkish" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Turkish</span></a></p>
@frueheneuzeit<p><a href="https://fedihum.org/tags/til" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>til</span></a> the German transformer model for <a href="https://fedihum.org/tags/spacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spacy</span></a> is not trained for <a href="https://fedihum.org/tags/ner" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ner</span></a>. Room for improvement, I'd say.</p>
athmane mokraoui [BoF] ⏚ꝃ⌁⁂<p>PySBD est utilisable, également, en tant que « composant » greffé à <a href="https://mstdn.fr/tags/SpaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpaCy</span></a> </p><p>Lien : <a href="https://spacy.io/universe/project/python-sentence-boundary-disambiguation/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">spacy.io/universe/project/pyth</span><span class="invisible">on-sentence-boundary-disambiguation/</span></a></p>
IB Teguh TM<p>Learn how to OCR a PDF in Python and boost your PDF text extraction. Our spaCy Layout tutorial covers every step for an efficient Python OCR workflow. <a href="https://mastodon.social/tags/OCR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OCR</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a> <a href="https://mastodon.social/tags/PDFExtraction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PDFExtraction</span></a> <a href="https://mastodon.social/tags/TechTutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechTutorial</span></a></p><p><a href="https://teguhteja.id/ocr-a-pdf-in-python-spacy-layout-tutorial/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">teguhteja.id/ocr-a-pdf-in-pyth</span><span class="invisible">on-spacy-layout-tutorial/</span></a></p>
Cheuk Ting Ho<p>Start the <a href="https://fosstodon.org/tags/PyConWeb25" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyConWeb25</span></a> with keynote by Ines Montani - founder of <a href="https://fosstodon.org/tags/SpaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpaCy</span></a> and <a href="https://fosstodon.org/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> expert - she is one of the coolest person I know in <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> community</p>
Alexandre B A Villares 🐍<p>"Estáticas básicas de texto com <a href="https://ciberlandia.pt/tags/Polars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Polars</span></a> e <a href="https://ciberlandia.pt/tags/Spacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spacy</span></a> - <a href="https://ciberlandia.pt/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> 03 " <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://www.youtube.com/watch?v=FgsdmxILSFo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=FgsdmxILSF</span><span class="invisible">o</span></a></p>
Talk Python Podcast<p>We are giving away a couple of awesome illustrated guides for working with <a href="https://fosstodon.org/tags/spacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spacy</span></a>. All you have to do to enter is give us your name and email for the drawing. If you want to do cool things with text and <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a>, enter here. cc <span class="h-card" translate="no"><a href="https://sigmoid.social/@ines" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ines</span></a></span> <span class="h-card" translate="no"><a href="https://fosstodon.org/@mkennedy" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mkennedy</span></a></span> </p><p><a href="https://forms.gle/VQomtUeGALz3zt6M6" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">forms.gle/VQomtUeGALz3zt6M6</span><span class="invisible"></span></a></p>
e-editiones<p>now <a href="https://social.e-editiones.org/tags/NER" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NER</span></a> via <a href="https://social.e-editiones.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a> and how the Annotations user interface is utilised to review potential matches and to do bulk updates for entities. She continues with connectors to authority provider like <a href="https://social.e-editiones.org/tags/Airtable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Airtable</span></a>, <a href="https://social.e-editiones.org/tags/Wikidata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Wikidata</span></a> and others.</p>
EuroSciPy<p>🌟 Excited to announce that Ines Montani <span class="h-card" translate="no"><a href="https://sigmoid.social/@ines" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ines</span></a></span>, co-founder of <span class="h-card" translate="no"><a href="https://sigmoid.social/@explosion" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>explosion</span></a></span> and core developer of 💫 <a href="https://fosstodon.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a>, will be delivering a keynote at <a href="https://fosstodon.org/tags/EuroSciPy2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroSciPy2024</span></a>! 🚀</p><p>Ines will share insights from "10 Years of Open Source: Navigating the Next AI Revolution," exploring how open source and interoperability continue to shape the future of AI and NLP.</p><p>Get your ticket: <a href="https://ow.ly/KgbA50SU5gC" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ow.ly/KgbA50SU5gC</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/EuroSciPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroSciPy</span></a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> <a href="https://fosstodon.org/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalLanguageProcessing</span></a></p>
Tatu Leppämäki<p>This work wouldn’t exist without a host of <a href="https://mstdn.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> tools and the hard work that goes into them. To name a few: <a href="https://mstdn.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a>, Pelias, <span class="h-card" translate="no"><a href="https://fosstodon.org/@qgis" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>qgis</span></a></span>, (Geo)Pandas, LibreOffice suite, and <span class="h-card" translate="no"><a href="https://vis.social/@SankeyMATIC" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>SankeyMATIC</span></a></span>. Kudos to the developers and other contributors to these projects!</p>
Paolo Melchiorre<p>At PyCon Italia 2024 Ines Montani is presenting her talk "The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs" 🐍</p><p>CC <span class="h-card" translate="no"><a href="https://social.python.it/@pycon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>pycon</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@ines" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ines</span></a></span> </p><p>Follow it live now 👇<br><a href="https://2024.pycon.it/en/event/the-ai-revolution-will-not-be-monopolized-how-open-source-beats-economies-of-scale-even-for-llms" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">2024.pycon.it/en/event/the-ai-</span><span class="invisible">revolution-will-not-be-monopolized-how-open-source-beats-economies-of-scale-even-for-llms</span></a></p><p><a href="https://fosstodon.org/tags/PyCon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyCon</span></a> <a href="https://fosstodon.org/tags/PyConIT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyConIT</span></a> <a href="https://fosstodon.org/tags/PyConIT24" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyConIT24</span></a> <a href="https://fosstodon.org/tags/PyConIT2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyConIT2024</span></a> <a href="https://fosstodon.org/tags/PyConItalia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyConItalia</span></a> <a href="https://fosstodon.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://fosstodon.org/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://fosstodon.org/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a></p>
nbZoe Tucker und Kristian Allen von der UCLA Library haben auf der Code4Lib 2024 eine <a class="hashtag" href="https://social.biblioco.de/tag/opensource" rel="nofollow noopener" target="_blank">#OpenSource</a> <a class="hashtag" href="https://social.biblioco.de/tag/metadaten" rel="nofollow noopener" target="_blank">#Metadaten</a>-Extraktions-Pipeline zur automatischen <a class="hashtag" href="https://social.biblioco.de/tag/erschließung" rel="nofollow noopener" target="_blank">#Erschließung</a> von Digitalisaten mit komplexen Layouts vorgestellt.<br><a href="https://yewtu.be/watch?v=tujc_9nVg3o&amp;t=10445" rel="nofollow noopener" target="_blank">https://yewtu.be/watch?v=tujc_9nVg3o&amp;t=10445</a><br>In einer zweiten Iteration haben sie sich für die Kombination folgender Komponenten entschieden, um bessere Ergebnisse zu erzielen: PaddleOCR (statt <a class="hashtag" href="https://social.biblioco.de/tag/tesseract" rel="nofollow noopener" target="_blank">#Tesseract</a>) für <a class="hashtag" href="https://social.biblioco.de/tag/ocr" rel="nofollow noopener" target="_blank">#OCR</a>, Amazon Science ReFinED (statt <a class="hashtag" href="https://social.biblioco.de/tag/spacy" rel="nofollow noopener" target="_blank">#spaCy</a>) für <a class="hashtag" href="https://social.biblioco.de/tag/ner" rel="nofollow noopener" target="_blank">#NER</a> und Ollama (statt <a class="hashtag" href="https://social.biblioco.de/tag/chatgpt" rel="nofollow noopener" target="_blank">#ChatGPT</a> und <a class="hashtag" href="https://social.biblioco.de/tag/gemini" rel="nofollow noopener" target="_blank">#Gemini</a>) für die Metadaten-Generierung in Dublin Core oder MODS.<br>Das experimentelle Toolkit steht auf GitHub als Docker-Container mit Jupyter Lab Umgebung bereit und wurde in Python umgesetzt: <a href="https://github.com/UCLALibrary/metadata-extraction-lab" rel="nofollow noopener" target="_blank">https://github.com/UCLALibrary/metadata-extraction-lab</a><br><a class="hashtag" href="https://social.biblioco.de/tag/kiinbibliotheken" rel="nofollow noopener" target="_blank">#KIinBibliotheken</a> <a class="hashtag" href="https://social.biblioco.de/tag/bibliotheken" rel="nofollow noopener" target="_blank">#Bibliotheken</a> <a class="hashtag" href="https://social.biblioco.de/tag/generativeki" rel="nofollow noopener" target="_blank">#GenerativeKI</a> <a class="hashtag" href="https://social.biblioco.de/tag/llms" rel="nofollow noopener" target="_blank">#LLMs</a> <a class="hashtag" href="https://social.biblioco.de/tag/ki" rel="nofollow noopener" target="_blank">#KI</a> <a class="hashtag" href="https://social.biblioco.de/tag/erschliessung" rel="nofollow noopener" target="_blank">#Erschliessung</a> <a class="hashtag" href="https://social.biblioco.de/tag/katalogisierung" rel="nofollow noopener" target="_blank">#Katalogisierung</a> <a class="hashtag" href="https://social.biblioco.de/tag/c4l24" rel="nofollow noopener" target="_blank">#c4l24</a>
Christof Schöch<p>[SOLVED] Please help, dear corpus and computational L friends! Is there a <a href="https://fedihum.org/tags/multilingual" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multilingual</span></a> <a href="https://fedihum.org/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>model</span></a> for <a href="https://fedihum.org/tags/TreeTagger" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TreeTagger</span></a>, even with a very basic tagset? </p><p>I would like to annotate lemma + POS in a <a href="https://fedihum.org/tags/corpus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>corpus</span></a> of short <a href="https://fedihum.org/tags/texts" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>texts</span></a> in 3-4 European <a href="https://fedihum.org/tags/languages" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>languages</span></a> (mainly <a href="https://fedihum.org/tags/German" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>German</span></a>, <a href="https://fedihum.org/tags/English" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>English</span></a>, <a href="https://fedihum.org/tags/French" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>French</span></a>) within <a href="https://fedihum.org/tags/TXM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TXM</span></a>, a process that requires using TreeTagger. </p><p>I know I could do that with <a href="https://fedihum.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a>, selecting the right model for each text. But then I need to get those <a href="https://fedihum.org/tags/annotations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>annotations</span></a> into shape for import into TXM. </p><p><a href="https://fedihum.org/tags/EasyWayOut" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EasyWayOut</span></a>?</p>
Dave Howcroft<p>Prys: Two types of outputs: language tech building blocks that companies and others can use (distributed under permissive open source licenses) and end-user products (e.g. apps) for the language.</p><p>These tools from <a href="https://techiaith.cymru/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">techiaith.cymru/</span><span class="invisible"></span></a> have also been integrated into <a href="https://mastodon.social/tags/Spacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spacy</span></a> (<a href="https://spacy.io/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">spacy.io/</span><span class="invisible"></span></a>).</p><p>They also have a Welsh virtual assistant called Macsen which you can run on iOS or Android to interact with your phone by voice in Welsh.</p>
Philip Kaufmann<p>Wer möchte mir ein gutes Tutorial empfehlen, um mit <a href="https://climatejustice.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spaCy</span></a> und deutschen Texten gutes <a href="https://climatejustice.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> zu machen? Ich würde gerne für meine <a href="https://climatejustice.social/tags/Masterarbeit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Masterarbeit</span></a> Interviews reinwerfen und denke über <a href="https://climatejustice.social/tags/NER" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NER</span></a>, <a href="https://climatejustice.social/tags/Sentiment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sentiment</span></a>-Analysis und <a href="https://climatejustice.social/tags/Themenanalyse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Themenanalyse</span></a> nach. Pre-Processing Schritte wäre auch ein Topic. <a href="https://climatejustice.social/tags/DH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DH</span></a> <a href="https://climatejustice.social/tags/Pyhthon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pyhthon</span></a></p>
Alexis Perrier<p>Excellent article on using <a href="https://sigmoid.social/tags/LLMs" class="mention hashtag" rel="tag">#<span>LLMs</span></a> efficiently by Matthew Hannibal the founder of <a href="https://sigmoid.social/tags/Spacy" class="mention hashtag" rel="tag">#<span>Spacy</span></a> </p><p>In short use LLMs to improve the pipeline where they perform best, for generative tasks not to do standard NLP tasks</p><p>Interestingly this goes somewhat counter to the <a href="https://sigmoid.social/tags/deeplearning" class="mention hashtag" rel="tag">#<span>deeplearning</span></a> course on <a href="https://sigmoid.social/tags/prompt" class="mention hashtag" rel="tag">#<span>prompt</span></a> engineering</p><p><a href="https://explosion.ai/blog/against-llm-maximalism" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">explosion.ai/blog/against-llm-</span><span class="invisible">maximalism</span></a></p>
Matthew Honnibal<p>What will production NLP look like, once the dust settles around LLMs? One view is basically “prompts are all you need”. I disagree. I wrote a bit about this when we released <a href="https://sigmoid.social/tags/spaCy" class="mention hashtag" rel="tag">#<span>spaCy</span></a> LLM last week, but the topic deserves its own post, so here it is.</p><p><a href="https://explosion.ai/blog/against-llm-maximalism" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">explosion.ai/blog/against-llm-</span><span class="invisible">maximalism</span></a></p>
Ines Montani<p>Long overdue <a href="https://sigmoid.social/tags/introduction" class="mention hashtag" rel="tag">#<span>introduction</span></a> 💖</p><p>Hi, I&#39;m Ines, the co-founder and CEO of <span class="h-card" translate="no"><a href="https://sigmoid.social/@explosion" class="u-url mention">@<span>explosion</span></a></span> – we&#39;re the makers of the <a href="https://sigmoid.social/tags/NLP" class="mention hashtag" rel="tag">#<span>NLP</span></a> library <a href="https://sigmoid.social/tags/spaCy" class="mention hashtag" rel="tag">#<span>spaCy</span></a>, the Prodigy annotation tool and more. I love working on applied real-world NLP, open-source and developer experience.</p><p>👩‍💻 My Website: <a href="https://ines.io" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">ines.io</span><span class="invisible"></span></a><br />🧠 Applied NLP Thinking: <a href="https://explosion.ai/blog/applied-nlp-thinking" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">explosion.ai/blog/applied-nlp-</span><span class="invisible">thinking</span></a><br />📺 How to Ignore Most Startup Advice and Build a Decent Software Business: <a href="https://www.youtube.com/watch?v=74AsJ7RET20" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=74AsJ7RET20</span><span class="invisible"></span></a></p>