Application of Artificial Intelligence to improve Customer Understanding: Transformer based Topic Modeling in practice
نویسندگان
چکیده
Since the past few years, so-called pre-trained Language Models (PLM) are considered state-of-the-art in field of Natural Processing (NLP) and thus experiencing widespread successful application. In addition to traditional supervised Machine Learning (ML) tasks such as spam email or customer churn classification, this technology opens up advanced approaches unsupervised learning data analytics general. One particular interest is automatic identification latent topics within a large collection texts, also known Topic Modeling (TM). Such modelling offer great potential, especially for industrial environments well consumer goods market, explore increasing amounts from diverse constantly growing sources. As holistic concept, it can be utilized highly targeted efficient manner applications through an optimized combination Artificial Intelligence (AI) Cloud Computing (CC) systems.
منابع مشابه
Artificial Intelligence Based Approach for Identification of Current Transformer Saturation from Faults in Power Transformers
Protection systems have vital role in network reliability in short circuit mode and proper operating for relays. Current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. Therefore, proper and quick identification of Current transformer saturation is so important. In this paper, an Artificial Neural Network...
متن کاملArtificial Intelligence Based Modeling of Musical Instruments
In this paper, a novel research tool, which allows real-time implementation and evaluation of sound synthesis of musical instrument, is described. The tool is a PC-based application and allows the user to evaluate the effects of parameter changes on the sound quality in an intuitive manner. Tuning makes use of a Genetic Algorithm (GA) technique. Flute and plucked string modeling examples are us...
متن کاملartificial intelligence based approach for identification of current transformer saturation from faults in power transformers
protection systems have vital role in network reliability in short circuit mode and proper operating for relays. current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. therefore, proper and quick identification of current transformer saturation is so important. in this paper, an artificial neural network...
متن کاملCustomer behavior mining based on RFM model to improve the customer relationship management
Companies’ managers are very enthusiastic to extract the hidden and valuable knowledge from their organization data. Data mining is a new and well-known technique, which can be implemented on customers data and discover the hidden knowledge and information from customers' behaviors. Organizations use data mining to improve their customer relationship management processes. In this paper R, F, an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Anwendungen und Konzepte der Wirtschaftsinformatik
سال: 2022
ISSN: ['2296-4592']
DOI: https://doi.org/10.26034/lu.akwi.2022.3411