Company name
Begell House inc.
Business activity
Academic Publishing
Academic abstracts classification with Large Language Model
Begell House, a prominent academic publisher renowned for its peer-reviewed journals and scientific publications, faces the challenge of efficiently classifying numerous incoming articles. With 50 existing journals to choose from, selecting the right publication venue becomes time-consuming and intricate. To streamline this process, we undertook the Academic Abstracts Classification project, creating an AI-powered solution called the Large Language Model (LLM).
Case highlights
Large Language Model
GPT
Streamlined Journal Recommendation
Personalized Research Guidance
Our valued client, a leading academic institution, sought to improve the efficiency of research discovery and classification. With a vast repository of academic abstracts covering diverse topics, manually categorizing and classifying these abstracts was time-consuming and resource-intensive.
To revolutionize the abstracts classification process, our software development team implemented a state-of-the-art Large Language Model (LLM) solution. Leveraging the power of cutting-edge natural language processing (NLP) algorithms, our LLM is trained to comprehend the nuances and context of academic abstracts, enabling accurate and efficient classification.
