Scale Your Business Using Artificial Intelligence And Cognitive Science
How to Solve Complex Challenges of Natural Language Processing:
- Automated parsing, tokenization, part-of-speech tagging, and lemmatization.
- Ability to use special tags, qualifiers, and operators in linguistic rules that take advantage of part-of-speech tagging, tokenization, lemmatization (allows for more precision or better recall/abstraction capabilities), and detect misspellings.
- Merge or split topics automatically generated by the machine (unsupervised machine learning) to create user-defined topics (subject-matter expertise to refine automated AI output).
- Text summarization, text data segmentation, text parsing, and mining, topic modeling, text rule development, and scoring, text rule discovery, term mapping and topic term mapping, conditional random field and search.
The business benefits of NLP explained Chat Bots, Sentiment analysis, Automatic Summarization, Question Answering, Contextual extraction, Machine-generated topic detection
Cognitive Engineer at Nexright Software Solutions
AI, ML, IOT & Robotics Enthusiastic, Cognitive Engineer @ Nexright Software Solutions Pvt Ltd & Founder of Trybotics.com