Digital assistant for online Media or Finance
Applying Data mining, your digital assistant might perform a web search for you to fish out a particular information from newspapers, multiple languages functionality included. This might come handy for Finance, as stock markets depend on political and economic events; moreover, automatic-multi-language-web-search assistant would assist media companies in publishing immediate news.
Voice-activated applications
Speaking commands and queries aloud in natural language and expecting an accurate command performance in return could be integrated into car panels or smart houses, not to mention applications for people with special needs. It’s already difficult to imagine the Internet of Things without voice-activated devices.
Knowledge search in texts
An application for finding knowledge articles or informative parts in longer text saves time for students. Libraries and repositories would use the knowledge search application to automatize relevant processes and assist their users better. On-line media could also use the knowledge-search application for raising the user loyalty asset.
Sentiment analysis of user-generated feedback
Identifying and categorizing opinions into positive, negative, or neutral in CRM platforms is one example of sentiment analysis application based on NLP technology. It is also applicable for auto blocking negative comments or the ones with banned words. Positive comments could be categorized into so-called “prospective clients” folder for further e-mail marketing or other campaigns.
AI-powered support
Software for automatic client support, or web robot- (simply: bot) generated support, with large knowledge base equips businesses to reach bigger audience and/or assist their online clients 24/7. This could become advantageous almost for any industry, including Finance, Healthcare, Education, Insurance, as a support-bot saves corporate money earlier spent on HR.
Search functionality
Search engine – based on natural language queries rather than keywords – facilitates web pages navigation and the flawless recognition of user-generated requests.Enabled to enter natural speech enquiries (e.g.”What did Werber write?”), users get full-dress search results, based on derivatives, synonyms, and semantic search history.
Idea Page Section-1
Real world usage of Natural language processing and Data analysis plays a vital role in emerging web and mobile applications. Find below some ideas for start-ups and SMB companies
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NLP application based on dialogue generation
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