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  • Predictive text and its cousin autocorrect have evolved a lot and now we have applications like Grammarly, which rely on pure language processing and machine learning. We also have Gmail’s Smart Compose which finishes your sentences for you as you kind. However, large quantities of knowledge are often inconceivable to research manually. Here is where natural language processing comes in handy — particularly sentiment evaluation and suggestions analysis tools which scan text for optimistic, unfavorable, or neutral emotions.

    Before BERT, Google’s algorithm put too much emphasis on “curb” and never sufficient on “no.” With the added sophistication, Google can return a extra related outcome. Given the engine’s improved understanding, it additionally supplies more alternatives for search engine https://www.globalcloudteam.com/ optimization professionals to snatch a new featured snippet spot. The rise of natural language search comes as part of the general modifications to search engine optimization. As engines acquire sophistication, Google drives towards making its results helpful and clear.

    natural language search engine examples

    NLP combines rule-based modeling of human language referred to as computational linguistics, with different models similar to statistical models, Machine Learning, and deep learning. When integrated, these technological fashions enable computers to process human language by way of either textual content or spoken words. As a end result, they will ‘perceive’ the total that means including the speaker’s or writer’s intention and feelings. To that finish, create content that spells out particular consumer questions and solutions them.

    What Are The Parts Of Natural Language Processing?

    And as AI and augmented analytics get extra refined, so will Natural Language Processing (NLP). While the terms AI and NLP might conjure photographs of futuristic robots, there are already fundamental examples of NLP at work in our daily lives. IBM equips businesses with the Watson Language Translator to quickly translate content material into varied languages with world audiences in mind. With glossary and phrase rules, corporations are in a position to customise this AI-based tool to suit the market and context they’re targeting.

    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" width="305px" alt="natural language search engine examples"/>

    the field. Natural languages consist of two major components; Natural language Understanding and Natural language technology.

    Natural Language Processing Examples Every Business Ought To Know About

    Compared to chatbots, good assistants of their present kind are more task- and command-oriented. Top word cloud era tools can remodel your perception visualizations with their creativity, and give them an edge. One of one of the best NLP examples is discovered within the insurance industry the place NLP is used for fraud detection. It does this by analyzing earlier fraudulent claims to detect similar claims and flag them as probably being fraudulent. This not solely helps insurers eliminate fraudulent claims but in addition retains insurance premiums low.

    • For occasion, quite than asking a simple query corresponding to “What’s a vegetarian recipe with tomatoes and cheese?
    • Additionally, strong e-mail filtering in the workplace can significantly scale back the chance of someone clicking and opening a malicious email, thereby limiting the exposure of sensitive data.
    • Still, as we have seen in plenty of NLP examples, it is a very helpful technology that may significantly improve business processes – from customer support to eCommerce search results.
    • This disconnect between what a shopper needs and what retailers’ search engines like google and yahoo are able to return prices firms billions of dollars annually.
    • What if there were a approach to persuade shoppers who discover your ecommerce site, ultimately making it to a product …

    This expertise increases quantitative metrics like income per visitor (RPV) and conversion price, however it improves qualitative ones like customer sentiment and brand belief. When a buyer knows they’ll go to your web site and see one thing they like, it will increase the possibility they’ll return. This disconnect between what a consumer desires and what retailers’ search engines like google and yahoo are able to return prices corporations billions of dollars annually. Voice assistants like Siri and Google Assistant make the most of NLP to recognize spoken words, perceive their context and nuances, and produce relevant, coherent responses. Natural Language Processing is a subfield of AI that permits machines to grasp and generate human language, bridging the gap between human communication and laptop understanding.

    Natural language understanding (NLU) allows machines to know language, and pure language generation (NLG) gives machines the ability to “speak.”Ideally, this offers the desired response. However, enterprise information nlp examples presents some unique challenges for search. The information that populates an average Google search results page has been labeled—this helps make it findable by search engines like google.

    Early makes an attempt at machine translation during the Cold War period marked its humble beginnings. For instance, when you ask Siri or Alexa a question, Natural Language Processing mechanisms help them decipher your request and supply a coherent reply. Whether studying textual content, comprehending its that means, or producing human-like responses, NLP encompasses a broad range of tasks. In the lengthy run, we will see increasingly more entity-based Google search outcomes changing traditional phrase-based indexing and ranking.

    Autocorrect can even change words primarily based on typos in order that the overall sentence’s which means is smart. These functionalities have the ability to learn and alter based in your behavior. For instance, over time predictive textual content will be taught your private jargon and customize itself.

    How Ecommerce Ai Is Reshaping Enterprise

    Once you’ve constructed a keyword record on this way, categorize them into forms of intent. Some searches are transactional, with high conversion potential (“streaming video downloader”). Others will just be looking for a specific address (“prime video streaming”). Natural language search opens up new options for web optimization professionals, so the logical subsequent step is to optimize your site. You’ll have to take distinct steps to know user intent and optimize your posts for high quality.

    Another upshot of BERT is that there are extra queries with a featured snippet. Featured snippets are short choices of textual content that Google posts at the top of searches in an attempt to rapidly answer a user’s question. A attribute instance offered by Google concerns the pure language search “parking on a hill with no curb.” As with some other sort of keyword search, you just have to sort your natural language search terms into your search bar. You can even use a voice assistant (think Google Home or Siri) to conduct a natural language search.

    NLP is special in that it has the aptitude to make sense of these reams of unstructured data. Tools like keyword extractors, sentiment analysis, and intent classifiers, to name a few, are notably useful. In this piece, we’ll go into more depth on what NLP is, take you through a selection of natural language processing examples, and show you how you can apply these within your business.

    Nlp In Google Search Is Right Here To Stay

    Remember, Google needs to supply people with the best solutions to their questions. Your best wager for rating is to anticipate those questions and answer them completely. These long-tail keywords have lower visitors, but in addition they include less competitors and more conversion potential.

    Search autocomplete is an efficient instance of NLP at work in a search engine. This perform predicts what you could be trying to find, so you probably can merely click on on it and save yourself the hassle of typing it out. If you’re not adopting NLP expertise, you’re most likely missing out on ways to automize or acquire enterprise insights. Custom tokenization is a method that NLP uses to interrupt each language down into units. In most Western languages, we break language units down into words separated by spaces. But in Chinese, Japanese, and Korean languages, areas aren’t used to divide words or ideas.

    natural language search engine examples

    This means your staff has extra time to hone their ecommerce strategy while the algorithm does the brunt of the merchandising work needed to satisfy and convert consumer queries. The use of NLP, notably on a large scale, also has attendant privateness points. For instance, researchers in the aforementioned Stanford examine checked out solely public posts with no personal identifiers, in accordance with Sarin, but other events may not be so moral. And although elevated sharing and AI evaluation of medical information might have major public well being advantages, patients have little capability to share their medical data in a broader repository. Microsoft ran nearly 20 of the Bard’s plays by way of its Text Analytics API.

    Nlp Chatbot And Voice Expertise Examples

    Regardless of the data volume tackled every single day, any enterprise owner can leverage NLP to improve their processes. The saviors for faculty students and professionals alike – autocomplete and autocorrect – are prime NLP utility examples. Autocomplete (or sentence completion) integrates NLP with particular Machine learning algorithms to foretell what words or sentences will come subsequent, in an effort to complete the meaning of the textual content. In the Fifties, Georgetown and IBM offered the first NLP-based translation machine, which had the power to translate 60 Russian sentences to English automatically.

    Ask.com (originally generally known as Ask Jeeves) is a query answering–focused e-business based in 1996 by Garrett Gruener and David Warthen in Berkeley, California. This results in redundancy when creating NLP or ML/AI models which aren’t efficient. In order to increase the robustness of the ML/AI mannequin stemming is broadly used to take away the repetition of words and extract the normalised or root word. Parsing is splitting the sentences into their parts to seek out their meanings and the essential words within the sentences.

    Рубрики: Software development

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