Top 5 Natural Language Applications in 2021
Hi all,
Natural Language Processing is an application of artificial intelligence and offers the facility of offering applications to companies that need to analyze their data reliably. Natural language has grown significantly since its humble beginnings, industry experts say that its implementation still remains one of the biggest big data challenges of 2021. Here are the top NLP trends you should be aware of.
1. Natural Language understanding
Natural Language Understanding (NLU) is subfield of Natural language processing (NLP) that use to understand input in the form of sentences using text or speech by computer. It is uses computers to understand what the input or human trying to say using syntax, codes, sentences. NLU can be seen in machine translations, Automated ticket routing, automated reasoning, question Answering, searches, chatbots.
2. Semantic Parsing
Semantic Parsing is the task of transducing natural language utterances into formal meaning representations. it is common for meaning representations to represent executable programs such as SQL queries, robotic commands, smart phone instructions, and even general-purpose programming languages like Python and Java. Applications of semantic parsing can be seen in machine translation, question answering, ontology induction, automated reasoning, and code generation.
3. Machine Translation
Machine translation is an automatic translation from one language to another. It is the translation of text by a computer. Machine Translation works with large amounts of source and target languages that are compared and matched against each other by a machine translation engine. There are three types of machine translation systems. They are rule-based, statistical and Neural. Examples of Machine Translation software are Google Translate, Microsoft Translator, Yandex, Amazon Translate, Cloud Translation API, Bing Translator.
4. Chatbots
Chatbot is a computer program that simulates human conversation, either via voice or text communication. A chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. Chatbots built for structured conversations are highly scripted, which simplifies programming but restricts the kinds of things that the users can ask. Chatbots are used to engage with customers alongside the classic customer service channels of phone, email, and social media. Chatbot platform examples are Zendesk, Olark, Userlike, Pure Chat, Jivochat, Freshchat, Tawk, Intercom.
5. Sentiment Analysis
Sentiment Analysis is used to determine customer’s feedbacks. It looks not just at what’s being said, but the emotion behind it. Sentiment Analysis uses expressions to determine the things. Expressions are very hard to recognize by computer. But machine can be able to identify different sentiment with help from NLP. Sentiment Analysis determine whether data is positive, negative or neutral. Also It helps businesses to identify customer needs, their feedbacks, their opinions about the latest products and both positive and negative comments.
Thank You!
