docs(README): update wink-nlp text and links

README.md

@@ -8,6 +8,11 @@ Language agnostic named entity recognizer
 
 Recognize named entities in a sentence using **`wink-ner`**. It is a smart Gazetteer-based Named Entity Recognizer (NER), which can be easily trained to suite specific needs. For example, the wink-ner can differentiate between `Manchester United` & `Manchester` in a single sentence and tag them as a club and city respectively.
 
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+    <h4>Use <a href="https://github.com/winkjs/wink-nlp">wink-nlp</a> if your are looking for an integrated NLP package✨</h4>
+    <a href="https://github.com/winkjs/wink-nlp">WinkNLP</a> is a <b>developer friendly</b> JavaScript library for Natural Language Processing. Designed specifically to make development of NLP solutions <b>easier</b> and <b>faster</b>, winkNLP is optimized for the right balance of performance and accuracy. The package can handle large amount of raw text at speeds <a href="https://github.com/winkjs/wink-nlp#speed--accuracy">over 525,000 tokens/second</a> for the <a href="https://winkjs.org/wink-nlp/processing-pipeline.html">entire NLP pipeline</a>.
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 ### Installation
 
 Use [npm](https://www.npmjs.com/package/wink-ner) to install: