14 citations · 20 across the 3 of their papers we have counts for
3 papers
N-gram Statistical Stemmer for Bangla Corpus
Rabeya Sadia, Md Ataur Rahman, Md Hanif Seddiqui
Stemming is a process that can be utilized to trim inflected words to stem or root form. It is useful for enhancing the retrieval effectiveness, especially for text search in order…
Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis
Md. Ataur Rahman, Md. Hanif Seddiqui
Detecting emotions from text is an extension of simple sentiment polarity detection. Instead of considering only positive or negative sentiments, emotions are conveyed using more t…
An Efficient Metric of Automatic Weight Generation for Properties in Instance Matching Technique
Md. Hanif Seddiqui, Rudra Pratap Deb Nath, Masaki Aono
The proliferation of heterogeneous data sources of semantic knowledge base intensifies the need of an automatic instance matching technique. However, the efficiency of instance mat…