wink-nlp
Advanced tools
Changelog
Version 2.2.0 April 03, 2024
✨ Features
- Detokenization restores both regular and non-breaking spaces to their original positions. 🤓
Changelog
Version 2.1.0 March 24, 2024
✨ Features
- You can now use
similarity.vector.cosine( vectorA, vectorB )to compute similarity between two vectors on a scale of 0 to 1. 🤓
Changelog
Version 2.0.0 March 24, 2024
✨ Features
- Seamless word embedding integration enhances winkNLP's semantic capabilities. 🎉 👏 🙌
- Pre-trained 100-dimensional word embeddings for over 350,000 English words released: wink-embeddings-sg-100d. 💯
- API remains unchanged — no code updates needed for existing projects. The new APIs include: 🤩
- Obtain vector for a token: Use the
.vectorOf( token )API. - Compute sentence/document embeddings: Employ the
as.vectorhelper: use.out( its.lemma, as.vector )on tokens of a sentence or document. You can also useits.valueorits.normal. Tokens can be pre-processed to remove stop words etc using the.filter()API. Note, theas.vectorhelper uses averaging technique. - Generate contextual vectors: Leverage the
.contextualVectors()method on a document. Useful for pure browser-side applications! Generate custom vectors contextually relevant to your corpus and use them in place of larger pre-trained wink embeddings.
- Obtain vector for a token: Use the
- Comprehensive documentation along with interesting examples is coming up shortly. Stay tuned for updates! 😎
Changelog
Version 1.14.3 July 21, 2023
✨ Features
- Added a live example for how to run winkNLP on Deno. 👍
Changelog
Version 1.14.2 July 1, 2023
🐛 Fixes
- Paramteters in
markup()are optional now in TS code — squashed a typescript declaration bug. 🙌
Changelog
Version 1.14.0 May 20, 2023
✨ Features
- You can now use
its.sentenceWiseImprotancehelper to obtain sentence wise importance (on a scale of 0 to 1) of a document, if it is supported by language model. 📚📊🤓 - Checkout live example How to visualize key sentences in a document? 👀
Changelog
Version 1.13.1 March 27, 2023
⚙️ Updates
- Some behind the scene model improvements. 😎 🤓
- Add clarity on typescript configuration in README. ✅
Changelog
Version 1.13.0 December 09, 2022
✨ Features
- Mark allows marking w.r.t. the last element of the pattern. For example if a pattern matches
a fluffy catthenmark: [-2, -1]will extractfluffy cat— especially useful when the match length is unknown. 💃 - Improved error handling while processing mark's arguments. 🙌