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
Samples of NLP and Big Data applicatiocn include:
  • Search engines, thesaurus knowledgebases
  • Machine translation, spell checking apps
  • Automated replies: e-mail, online support
  • Knowledge or sentiment discovery in texts
  • Data mining of structured and non-structured data
  • Data-driven decision management, etc

We have brainstormed start-up ideas for varied sectors, Providing Natural language processing and Data science are applied.

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.
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.
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.
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.
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.
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.
Data-driven decision management in e-commerce
Business management – that is rationalized by data-driven decisions – is more efficient. In E-commerce, data analytics enables to locate potential clients, disclose their tastes, and interpret the information into business offers. For instance, if your T-shirt company has sold 30k of white outfits in the previous season, and only 200 items of black ones, the business decision to produce more white-colour shirts could be wise, according to the company's big data analytics.
Machine generated copywriting and SEO optimization for digital Marketing
Digital Marketing optimizing web pages' content, it could be automatized. Word combinations, taken from search engines most often enquiries, could replace their synonyms in articles processed by such an application. SEO software would bring your company better Google positions, your digital marketing costs saved.
Classifying the level of academic texts, essays for e-Learning
When studying programs are developed, a human-generated classification of texts for varied student levels could be irrational. Machine-generated classification resolves the issue. Another aspect of assessing students' progress – essays evaluation – could be also assisted via such an application. E-learning companies that develop testing systems could improve their process with this application.
Application for patient-doctor dialogue
Weizenbaum's ELIZA is a nice example of a chatbot-therapist, as it parses the words one has typed and asks back a related question. An online psychological help may truly benefit from such an application that imitates a therapist session, - both for marketing purposes to attract more web page visitors or even to achieve relevant HR costs reduction.

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