Want to hire NLP developer? Then you should know!
How and where is NLP used?
- Customer Feedback Analysis: Analyzing customer reviews to improve products
- Chatbot Development: Building AI chatbots for customer support
- Sentiment Analysis: Determining sentiment from social media posts
- Machine Translation: Translating languages in real-time
- Named Entity Recognition: Identifying names in text for data analysis
- Text Summarization: Summarizing lengthy documents for quick insights
- Speech Recognition: Converting speech to text for various applications
- Topic Modeling: Organizing and understanding large collections of text
- Document Classification: Categorizing documents automatically
- Question Answering Systems: Developing systems to answer questions from text
Compare Junior, Middle, Senior, and Expert/Team Lead NLP Developer roles
Seniority Name | Years of Experience | Responsibilities and Activities | Average Salary (USD/year) |
---|---|---|---|
Junior | 0-2 years | Responsibilities & Activities:
| $60,000 |
Middle | 3-5 years | Responsibilities & Activities:
| $90,000 |
Senior | 6-8 years | Responsibilities & Activities:
| $120,000 |
Expert/Team Lead | 9+ years | Responsibilities & Activities:
| $150,000 |
Quick Facts about NLP.
- Back in 1950, the dawn of NLP software development emerged.
- Projects like chatbots and sentiment analysis rule this tech.
- Entry to NLP needs a blend of linguistics and coding skills.
- NLP’s BFF is Machine Learning, they’re inseparable.
- Did you know? NLP helps bots understand human emotions!
TOP NLP Related Technologies
- NLTK
- spaCy
- Gensim
- Stanford NLP
- OpenNLP
What are top NLP instruments and tools?
- spaCy: Tool for NLP in Python by Explosion AI, 2015
- Gensim: Topic modeling and document similarity, 2008
- Stanford CoreNLP: NLP analysis by Stanford NLP Group, 2010
- NLTK: NLP toolkit in Python, University of Pennsylvania, 2001
- BERT: Bidirectional Encoder Representations from Transformers by Google, 2018
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