Natural Language Processing
Our text classification system uses advanced machine learning techniques to accurately detect various features in text documents, including tone, topic, intent, and sentiment, among others. This powerful system eases the process of identifying and categorizing documents, making it an efficient tool for organizations and businesses that handle a large volume of reports and documents on a regular basis. This process enables time-saving and resource management while improving the accuracy and efficiency of their operations. Examples of text classification can be news companies trying to categorize their articles, a company that sells services and it is trying to classify negative and positive feedback from customers, or government agencies trying to archive their documents by classifying them into groups.