Abstract:
Due to the advancement of technology electronic communication has reached its peak. It
has great impact on our life. But some dishonest people are using it to fulfil their evil wish.
Millions of people use Bangla text in internet. They communicate in e-mail, Facebook,
twitter and other social networking platforms in Bangla language. And some people are
manipulating this platform. They are sending spam messages to the users. Many works
have been done for spam mail in English language. But there is no significant work for
spam messages in Bangla language. This inspired us to work for spam message detection
in Bangla language. Our approach to detect spam messages in Bangla language. For this
approach 6 types of spam messages have been considered. We made the dataset for the
task. We have collected the data from different platforms. Then we have used Natural
Language processing to perform spam mail detection. We have compared between
traditional NLP algorithm. For support vector machine we have got an accuracy of 96%.
