NATURAL LANGUAGE PROCESSING FOR AUTOMATED CUSTOMER SUPPORT

Abstract

The present invention provides an automated customer support system utilizing natural language processing (NLP) to interpret, analyze, and respond to customer inquiries with minimal human intervention. The system comprises an intent recognition module for detecting the purpose behind customer queries, a sentiment analysis module for evaluating emotional tone, a dynamic response generation module for generating contextually appropriate replies, and an adaptive learning module for continuously improving response accuracy based on customer feedback. The system is further configured to support multiple languages through language-specific NLP models and can personalize responses by leveraging previous interaction data. By combining these features, the invention delivers an efficient, adaptable, and empathetic customer support experience, reducing the need for human agents while enhancing customer satisfaction and operational efficiency.

Specification

Description:The embodiments of the present invention generally relates to natural language processing (NLP) systems designed to enhance automated customer support. Specifically, it concerns a system and method that can dynamically understand, interpret, and respond to customer queries with minimal human intervention by using advanced NLP models to recognize customer intent, detect sentiment, and generate tailored responses. This invention aims to optimize customer support interactions by combining context-aware NLP capabilities with an adaptive learning mechanism that continuously improves response accuracy and relevance based on real-time feedback.

BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the , Claims:1. An automated customer support system utilizing natural language processing (NLP), comprising:
an intent recognition module configured to analyze incoming customer queries to detect the intent of the queries;
a sentiment analysis module configured to evaluate the emotional sentiment of the customer queries;
a dynamic response generation module configured to generate responses based on the detected intent and sentiment; and
an adaptive learning module configured to update NLP model parameters based on customer feedback, wherein the system autonomously adjusts its responses to provide personalized and contextually relevant support to individual customers.

2. The system of claim 1, wherein the intent recognition module further comprises a natural language processing model based on transformer architecture, capable of processing tokenized input text and identifying intent with enhanced accuracy.

3. The system of claim 1, wherein the sentiment analysis module classifies customer sentiment into positive, neutra

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