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Permanent URI for this collectionhttps://hdl.handle.net/10361/6980
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listelement.badge.dso-type Item , Performing sentiment analysis in Bangla microblog posts(© 2014 IEEE Computer Society, 2014) Chowdhury, Shaika; Chowdhury, Wasifa; Department of Computer Science and EngineeringMuch of the research work on sentiment analysis has been carried out in the English language, but work in Bangla is limited to only news corpus and blogs. Microblogging sites are becoming a valuable source for publishing huge volumes of user-generated information, as users express their views, opinions, and sentiments over various topics. In this paper, we aim to automatically extract the sentiments or opinions conveyed by users from Bangla microblog posts and then identify the overall polarity of texts as either negative or positive. We use a semi-supervised bootstrapping approach for the development of the training corpus which avoids the need for labor intensive manual annotation. For classification, we use Support Vector Machine (SVM) and Maximum Entropy (MaxEnt) and do a comparative analysis on the performance of these two machine learning algorithms by experimenting with a combination of various sets of features.listelement.badge.dso-type Item , Power conversion for environment friendly electrically assisted rickshaw using photovoltaic technology in Bangladesh(© 2015 Institute of Electrical and Electronics Engineers Inc., 2015) Chowdhury, Shaika J.; Rahman, Rifat; Azad, Akm M.; Department of Electrical and Electronic EngineeringAddressing the problem of high energy consumption from national grid of electrically assisted rickshaw the Control and Applications Research Centre (CARC), BRAC University has proposed a field tested green solution: provide a share of the required energy of these rickshaws using solar energy. A 360Wp PV array was installed on a rickshaw and the performance was evaluated to determine its impact on the rickshaw and the energy saved from the national grid. The paper presents the fndings from the field tests. It is seen that 50% of the required load energy can be provided by the PV array, consequently saving that energy from the national grid. It is further seen that for the same amount of energy consumed from the battery, the distance coverage of these rickshaws can nearly be doubled.