Automatic Generation of Minutes of Meetings

This paper describes the process for automatic generation of minutes of meetings using Machine Learning algorithms and Natural Language Processing techniques. Minutes of meetings are a record which are used to keep official summaries of all meetings conducted within a company or organization. Automatic generation of minutes of meeting is a challenging issue and has gathered a huge amount of interest over the last few years due to its applications. Initially, we study previous research papers to understand existing techniques used for the purpose. Techniques such as AMBOC Model, BART Summarizer, HMNet Model, MSCG are employed for detecting useful and informative action items from audio files. Then we explore Machine Learning models such as SVM, HMM which are clubbed with the majority of methods for classification and summarization of the words given by above mentioned models to generate an informative summary for the user.