Natural language processing techniques
Natural language processing is the AI technology that allows computers and humans to communicate. Enterprise search and sentiment analysis are among the current NLP use cases. Get NLP tutorials, coverage of NLP platforms and learn about natural language processing techniques.
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Natural language processing techniques News
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March 10, 2020
10
Mar'20
Natural language query tools offer answers within limits
Natural language query tools could one day allow end users to do all their data analysis without the aid of data scientists, but at this point the capabilities remain limited.
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March 05, 2020
05
Mar'20
Advanced AI in financial services boosts fraud detection, efficiency
Financial firms plan to invest more into R&D on AI and plan to deploy advanced AI, like deep learning, within the next two years, according to a new survey.
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February 25, 2020
25
Feb'20
Forest fire sensors and AI help detect fires in Chile
Entel Ocean uses DataRobot's automated machine learning platform, as well as IoT sensors, to automatically detect forest fires in Chile. The platform can detect fires faster than manual counterparts.
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February 06, 2020
06
Feb'20
Social media marketing vendor uses sentiment analysis
Falcon.io, a social media marketing vendor, turned to AI vendor Lexalytics to add automatic social media sentiment analysis capabilities to its platform.
Natural language processing techniques Get Started
Bring yourself up to speed with our introductory content
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language modeling
Language modeling (LM) is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence. Continue Reading
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BERT language model
BERT is an open source machine learning framework for natural language processing (NLP). Continue Reading
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cognitive search
Cognitive search is a new generation of enterprise search that uses artificial intelligence technologies to improve users' search queries and extract relevant information from multiple, diverse data sets. Continue Reading
Evaluate Natural language processing techniques Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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What are the risks and benefits of AI-driven speech technology?
The benefits of AI-driven speech technology are growing, but it also comes with risks. Learn the pros and cons of adopting AI-driven speech technology. Continue Reading
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What do NLP benchmarks like GLUE and SQuAD mean for developers?
AI models for various language understanding tasks have been dramatically improved due to the rise in scale and scope of NLP data sets and have set the benchmark for other models. Continue Reading
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How to build a chatbot with personality and not alienate users
Adding personality to a chatbot can push it toward the uncanny valley and raises ethical questions. But enterprises can make their bots more engaging, while avoiding these hurdles. Continue Reading
Manage Natural language processing techniques
Learn to apply best practices and optimize your operations.
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How to create NLP metrics to improve your enterprise model
As standardized NLP framework evaluations become popular, experts urge users to focus on individualized metrics for enterprise success. Continue Reading
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Supervise data and open the black box to avoid AI failures
As AI blooms, marketers and vendors are quick to highlight easy positive use cases. But implementation can -- and has -- gone wrong in cases that serve as warnings for developers. Continue Reading
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Pushing past chatbot challenges will secure their longevity
For chatbots to remain in enterprise futures, developers and data scientists need to get flexible. From open source to intelligent sharing, chatbot collaboration will boost benefits. Continue Reading
Problem Solve Natural language processing techniques Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Building a better conversational AI assistant requires emotion
Industry after industry is seeing benefits from chatbot implementation, but customers and developers are looking toward a future of more connected, intelligent conversational agents. Continue Reading
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The future scope of chatbots begins with addressing flaws
Chatbots are hot software in the enterprise, but to maintain longevity and relevance, developers need to take a look at the barriers to entry, interface options and NLP issues. Continue Reading
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Automatic meeting transcription records business sessions
By using an automated transcription platform from Fireflies.ai, employees at Zenatta Consulting can more easily find and read transcripts from important client calls. Continue Reading