Natural Language Processing (NLP) combines linguistics, computer science, and artificial intelligence to enable machines to understand and respond to human language.
The AlgoNew Natural Language platform facilitates the integration of NLP algorithms into business processes, offering capabilities such as virtual assistants, text analysis, data mining, email classification, intent and sentiment analysis, or complex response generation.
AlgoNew Natural Language is a No-Code platform designed to facilitate the development and integration of solutions based on NLP algorithms, without the need to write code, using graphical interfaces and intuitive tools. It integrates natively with the rest of AlgoNew’s solutions allowing the digitization of complex business processes, improving operational efficiency, and strengthening customer relationships.
Scalability, integration, and connectivity are essential components of AlgoNew Natural Language. These features ensure that the platform can not only grow and adapt to changing needs, but can also work effectively with other solutions, both proprietary and off-the-shelf.
AlgoNew Natural Language enables companies to build flexible and robust solutions that drive operational efficiency and continuous innovation.
Natural Language Processing (NLU) is a field of artificial intelligence that focuses on the interaction between machines and human language
Not only recognizing words and phrases but also understanding the meaning behind them, including context, semantics, and speaker intent
Ability to interpret language in a specific context by understanding the subtleties and ambiguities of natural language
Comprehension also influences the generation of coherent and relevant human language. It enables machines to communicate effectively with users
Neural networks are used in multiple applications thanks to their ability to learn complex patterns from data and perform specific tasks efficiently
Automated Customer Care: Companies use NLU-based chatbots and virtual assistants to provide 24/7 customer care.
Customer Sentiment Analysis: NLU neural networks can analyze large volumes of online customer comments and reviews to understand customer sentiment toward a brand or product.
Fraud Detection: NLU neural networks are used to detect fraud patterns in financial transactions and detect suspicious activity in real time, helping to prevent fraud and protect corporate assets.
Automated Customer Care: Companies use NLU-based chatbots and virtual assistants to provide 24/7 customer care.
Customer Sentiment Analysis: NLU neural networks can analyze large volumes of online customer comments and reviews to understand customer sentiment toward a brand or product.
Fraud Detection: NLU neural networks are used to detect fraud patterns in financial transactions and detect suspicious activity in real time, helping to prevent fraud and protect corporate assets.
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