Want to hire Natural Language Processing developer? Then you should know!
Table of Contents
- How and where is Natural Language Processing used?
- Compare Junior, Middle, Senior, and Expert/Team Lead Natural Language Processing Developer roles
- Quick Facts about Natural Language Processing.
- TOP Natural Language Processing Related Technologies
- What are top Natural Language Processing instruments and tools?
How and where is Natural Language Processing used?
- Customer Feedback Analysis: Analyzing customer reviews to improve products
- Chatbot Development: Creating AI chatbots for customer support
- Sentiment Analysis: Determining public opinion on social media
- Text Summarization: Generating concise summaries of long articles
- Language Translation: Translating text between different languages
- Named Entity Recognition: Identifying names of people, places, and organizations
- Document Classification: Sorting documents into categories automatically
- Speech Recognition: Converting spoken language into text
- Keyword Extraction: Identifying important words in a document
- Grammar Correction: Improving the grammatical accuracy of text
Compare Junior, Middle, Senior, and Expert/Team Lead Natural Language Processing Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years | Tasks:
| $60,000 |
Middle | 3-5 years | Tasks:
| $80,000 |
Senior | 6-8 years | Tasks:
| $100,000 |
Expert/Team Lead | 9+ years | Tasks:
| $120,000 |
Quick Facts about Natural Language Processing.
- When Natural Language Processing Software was born in 1950
- The most popular project types using this tech are chatbots and sentiment analysis.
- The entry threshold for diving into NLP development is mastering Python and understanding linguistics.
- The most popular related technology to NLP is Machine Learning.
- Fun fact: The longest sentence ever parsed by an NLP system was 7,000 words long!
TOP Natural Language Processing Related Technologies
- Python
- TensorFlow
- PyTorch
- NLTK
- SpaCy
(Authors: Van Rossum, 1991)
(Developed by Google Brain team, 2015)
(Author: Paszke, 2016)
(Author: Loper and Bird, 2001)
(Author: Explosion AI, 2015)
What are top Natural Language Processing instruments and tools?
- Spacy: Spacy is maintained by Explosion AI, released in 2015
- NLTK: The Natural Language Toolkit, released by NLTK in 2001
- Gensim: Gensim is provided by Radim Řehůřek, released in 2008
- Stanford NLP: Stanford NLP tools by Stanford NLP Group, released in 2010
- AllenNLP: AllenNLP by Allen Institute for AI, released in 2017
- IBM Watson NLP: IBM Watson NLP by IBM, released in 2014
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