Text summarization using natural language processing
G Sreenivasulu, N Thulasi Chitra, B Sujatha… - … Strategies (ICTCS 2020 …, 2022 - Springer
It is very difficult for human beings to manually extract the summary of a large document of
text. There are plenty of text materials available on the Internet. So, there is a problem of …
text. There are plenty of text materials available on the Internet. So, there is a problem of …
Prediction exploration for coronary heart disease aid of machine learning
B Madhuravani, DP Degala… - Turkish Journal of …, 2021 - search.proquest.com
Any machine learning approach tries to map input and output while minimizing some error
metrics. In addition, machine learning techniques are not classified by setting certain cut-offs …
metrics. In addition, machine learning techniques are not classified by setting certain cut-offs …
Prediction of software engineering careers from Instagram personality traits
B Madhuravani - International Journal of Electronic …, 2023 - inderscienceonline.com
A social networking platform named Instagram is one of the most popular platforms that we
spend time on. The data from user-generated Instagram posts may be helpful to gauge the …
spend time on. The data from user-generated Instagram posts may be helpful to gauge the …
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
KS Prasad, S Pasupathy - Cybernetics, Cognition and Machine Learning …, 2022 - Springer
Nowadays, the vehicles in the world are increasing along with the human's population and
one of the issues that causes because of this increasing use of vehicles in traffic. Due to this …
one of the issues that causes because of this increasing use of vehicles in traffic. Due to this …