wink-nlp - npm Package Compare versions

Comparing version 1.7.0 to 1.7.1

.nyc_output/processinfo/index.json

@@ -1,1 +0,1 @@
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CHANGELOG.md

@@ -0,1 +1,8 @@
+# [Operational update](https://github.com/winkjs/wink-nlp/releases/tag/1.7.1)
+## Version 1.7.1 July 09, 2021
+
+### ⚙️ Updates
+- Improved documentation. 📚🤓
+
+
 # [Adding more similarity methods & an as helper](https://github.com/winkjs/wink-nlp/releases/tag/1.7.0)
@@ -2,0 +9,0 @@ ## Version 1.7.0 July 01, 2021

package.json

 {
   "name": "wink-nlp",
-  "version": "1.7.0",
+  "version": "1.7.1",
   "description": "Developer friendly NLP ✨",
@@ -5,0 +5,0 @@ "keywords": [

README.md

@@ -16,25 +16,25 @@ # winkNLP
 
-1. Lossless & multilingual tokenizer
+1. Fast, lossless & multilingual [tokenizer](https://winkjs.org/wink-nlp/processing-pipeline.html)
 
-2. Developer friendly and intuitive API
+2. Developer friendly and intuitive [API](https://winkjs.org/wink-nlp/getting-started.html)
 
-3. Built-in API to aid text visualization
+3. Built-in [API](https://winkjs.org/wink-nlp/visualizing-markup.html) to aid [text visualization](https://observablehq.com/@winkjs/how-to-perform-sentiment-analysis?collection=@winkjs/winknlp-recipes)
 
 4. Easy information extraction from raw text
 
-5. Extensive text processing features such as bag-of-words, frequency table, stop word removal, readability statistics computation and many more.
+5. Extensive [text processing features](https://winkjs.org/wink-nlp/its-as-helper.html) such as bag-of-words, frequency table, stop word removal, readability statistics computation and many more.
 
-6. Pre-trained models with sizes starting from <3MB onwards
+6. Pre-trained [language models](https://winkjs.org/wink-nlp/language-models.html) with sizes starting from <3MB onwards
 
-7. BM25-based vectorizer
+7. [BM25-based vectorizer](https://winkjs.org/wink-nlp/bm25-vectorizer.html)
 
-8. Multiple similarity methods
+8. Multiple [similarity](https://winkjs.org/wink-nlp/similarity.html) methods
 
 9. Word vector integration
 
-10. Comprehensive NLP pipeline covering tokenization, sentence boundary detection, negation handling, sentiment analysis, part-of-speech (pos) tagging, lemmatization, named entity extraction, custom entities detection and pattern matching
+10. Comprehensive [NLP pipeline](https://winkjs.org/wink-nlp/processing-pipeline.html) covering tokenization, sentence boundary detection, negation handling, sentiment analysis, part-of-speech (pos) tagging, lemmatization, named entity extraction, custom entities detection and pattern matching
 
-11. No external dependencies.
+11. No external dependencies
 
-12. Runs on web browsers
+12. [Runs on web browsers](https://winkjs.org/wink-nlp/wink-nlp-in-browsers.html).
 
@@ -61,3 +61,3 @@
 ### How to install for Web Browser
-If you’re using winkNLP in the browser use the [wink-eng-lite-web-model](https://www.npmjs.com/package/wink-eng-lite-web-model) instead. Learn about its installation and usage in our [guide to using winkNLP in the browser](https://winkjs.org/wink-nlp/how-to-run-wink-nlp-in-browser.html).
+If you’re using winkNLP in the browser use the [wink-eng-lite-web-model](https://www.npmjs.com/package/wink-eng-lite-web-model) instead. Learn about its installation and usage in our [guide to using winkNLP in the browser](https://winkjs.org/wink-nlp/wink-nlp-in-browsers.html).
 
@@ -64,0 +64,0 @@ ## Getting Started

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