Natural Language Processing (NLP) Software

Natural Language Processing (NLP) is a type of Machine Learning (ML) that uses rule-based models of human language and linguistics to enable computers and devices to recognize, interpret, and understand written or spoken languages in a natural, contextual manner. NLP works by analyzing various aspects of language, such as syntax and semantics, and then applies that data in rule-based algorithms to not only comprehend language but also perform tasks and solve problems.

Commonly offered via Conversation Intelligence software, NLP is one of the most prevalent forms of AI in mainstream use today, supporting everyday applications and devices such as digital assistants and chatbots that people interact with every day.

Key NLP Use Cases

Email Filters

NLP is used to filter emails by recognizing particular words or phrasing, and applying an action or categorization. Filters can be used to identify messages that are most likely spam and filter them away from the inbox, and in more recent applications, can be used to identify and sort messages by type, category and even mood.

Auto-Correct & Predictive Text

NLP is used in device and computer programs' auto-correct and predictive text features. NLP can predict what words are meant to correct spelling or suggest what a user may type next. NLP predictive text technology learns from users to customize options and sound more natural.

Search Engine Results

NLP is key for search engines, as it is used to analyze search wording and find the best, most closely related results to a user’s search. NLP can also help auto-fill searches with predictions of what a user may be looking for based on analysis of similar searches, and what other users found helpful.

AI Assistants & Chatbots

AI assistants and customer service chatbots utilize NLP to understand customer questions or gain insights into user intent. This data is used to provide responses with the best tone and language for the user.

Sentiment Analysis

NLP can analyze users’ emotions and sentiments from a wide variety of sources, such as call transcripts and social media content. In fact, sentiment analysis tools are a popular addition to the overall software suites of sales and service teams, so sensitive situations can be immediately identified and swift action can be taken, such as transferring an angry customer to an agent who is skilled in handling high-emotion calls. 

Language Translations

NLP is used in language translation tools and can comprehend the nuances needed to produce contextual, meaningful translations that follow the grammar rules and linguistic patterns unique to the language.

Data Analytics

NLP is also used by many top Business Intelligence software vendors to improve data analytics workflows, and enhance data visualizations. This makes complex data more accessible by allowing users to search and interact with data using natural language questions or commands.

Text Analytics

NLP analyzes language and identifies patterns from large, unstructured data sets that can be used to improve processes, support, or marketing campaigns.