> For the complete documentation index, see [llms.txt](https://www.mlcompendium.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.mlcompendium.com/natural-language-processing/nlp.md).

# NLP Tools

#### **SPACY** 

1. [**Vidhaya on spacy vs ner**](https://www.analyticsvidhya.com/blog/2017/04/natural-language-processing-made-easy-using-spacy-%E2%80%8Bin-python/) **- tutorial + code on how to use spacy for pos, dep, ner, compared to nltk/corenlp (sner etc). The results reflect a global score not specific to LOC for example.**
2. **The** [**spaCy course**](https://course.spacy.io/)
3. **SPACY OPTIMIZATION -** [**LP using CYTHON and SPACY.**](https://medium.com/huggingface/100-times-faster-natural-language-processing-in-python-ee32033bdced)

### **NLP embedding repositories**

1. [**Nlpl**](http://vectors.nlpl.eu/repository/)

### **NLP DATASETS**

1. [**The bid bad**](https://datasets.quantumstat.com/) **600,** [**medium**](https://medium.com/towards-artificial-intelligence/600-nlp-datasets-and-glory-4b0080bf5ab)
2. [Amazon 51 Language datasets for NLU](https://www.amazon.science/blog/amazon-releases-51-language-dataset-for-language-understanding)

### **NLP Libraries**

1. [**Has all the known libraries**](https://nlpforhackers.io/libraries/)
2. [**Comparison between spacy, pytorch, allenlp**](https://luckytoilet.wordpress.com/2018/12/29/deep-learning-for-nlp-spacy-vs-pytorch-vs-allennlp/?fbclid=IwAR236Mrg4J4pBGSLlvQ8xNbEw21lvMeLi6CfqRB2x6BL1U9vJm7_mB7Q10E) **- very basic info**
3. [**Comparison spacy,nltk**](https://spacy.io/usage/facts-figures) **core nlp**
4. [**Comparing Production grade nlp libs**](https://www.oreilly.com/ideas/comparing-production-grade-nlp-libraries-accuracy-performance-and-scalability)
5. [**nltk vs spac**](https://blog.thedataincubator.com/2016/04/nltk-vs-spacy-natural-language-processing-in-python/)**y**


---

# Agent Instructions
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