Text Processing Application – Airline Sentiment
An application that uses the concept of NLP - Machine learning to train on a large dataset and provide enhancement to the text processing...
An application that uses the concept of NLP - Machine learning to train on a large dataset and provide enhancement to the text processing capabilities. It was trained using 7 different models with the highest accuracy of 95% achieved by performance tuning. It finds its uses in Spam filtering, Text auto-correction. Text processing and Sentiment Analysis
Python
Matplotlib
Pandas
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Python
Matplotlib
Pandas
Machine learning
Scikit-learn
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E-Commerce Web Application
The software application was developed with an Agile development strategy along with the SCRUM meetings with the team members and the pro...
The software application was developed with an Agile development strategy along with the SCRUM meetings with the team members and the project guide. It had 3 initial sprints and it was tested for Unit, System, Integration, and Acceptance test at the end of each sprint
HTML/CSS
C#
MySQL
CSS3
Bootstrap
JavaScript
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