proposed topic modeling technique discover the more precise topics form biomedical text documents and remove the redundancy problem from these documents. Furthermore, it can be utilized for biomedical documents classification and clustering tasks in text mining proposed topic modeling technique discover the more precise topics form biomedical text documents and remove the redundancy problem from these documents. Furthermore, it can be utilized for biomedical documents classification and clustering tasks in text mining

Analysis: For this application, we will be using basic statistical feature extraction, In the NLP domain, we need to convert raw text into a numerical format so that the ML algorithm can be applied to that numerical data, techniques are used, including indexing, count-based vectorization, Term Frequency Inverse Document Frequency

Scope of the Project

• Image / object detection of images

• Proof of concept to showcase capabilities to clients

Technology Used: Python, Tensorflow, CNN, AdaBoost