International Journal of Advanced engineering, Management and Science, 2017
Recent systems developed are dependent on user feedbacks or opinions. These feedbacks or opinions... more Recent systems developed are dependent on user feedbacks or opinions. These feedbacks or opinions are generated in volumes everyday which are difficult to filter and analyse. We propose Sentiment based analysis is the major key in categorizing the user's Feedback. In thispaper, we study the processing of all the reviews posted in an online shopping application and classify them using SVM. We use big data to analyze the vast amounts of data generated. User reviews are the input to the Big Data HDFS System. Data are stored in the Data Nodes. Index is maintained in the Name Node. Reviews are analyzed using Sentiment Analysis and Positive & Negative Tweets are classified. Also products are recommended based on the previous purchases and group notification is sent to all the customers in a group.
Stroke is one of the major causes of disability in the world. The various disabilities due to str... more Stroke is one of the major causes of disability in the world. The various disabilities due to stroke includes intellectual functioning damage locomotory dysfunction, visual and hearing impairment, disfigurement etc., This occurs due to occlusion or inhibition of blood supply to the brain which is known as Ischemic stroke, whereas rupturing of blood vessels to the brain causes hemorrhagic stroke. Imaging techniques such as CT and MRI have played a huge role in the visualization of stroke lesions. Segmentation of the salvageable tissue and its outcome of how it affects a person’s lifestyle is the key focus of research as automated model is highly recommended to reduce the time and increase the accuracy in the prediction of stroke lesion in comparison to manual intervention.
International Journal of Advanced engineering, Management and Science, 2017
Recent systems developed are dependent on user feedbacks or opinions. These feedbacks or opinions... more Recent systems developed are dependent on user feedbacks or opinions. These feedbacks or opinions are generated in volumes everyday which are difficult to filter and analyse. We propose Sentiment based analysis is the major key in categorizing the user's Feedback. In thispaper, we study the processing of all the reviews posted in an online shopping application and classify them using SVM. We use big data to analyze the vast amounts of data generated. User reviews are the input to the Big Data HDFS System. Data are stored in the Data Nodes. Index is maintained in the Name Node. Reviews are analyzed using Sentiment Analysis and Positive & Negative Tweets are classified. Also products are recommended based on the previous purchases and group notification is sent to all the customers in a group.
Stroke is one of the major causes of disability in the world. The various disabilities due to str... more Stroke is one of the major causes of disability in the world. The various disabilities due to stroke includes intellectual functioning damage locomotory dysfunction, visual and hearing impairment, disfigurement etc., This occurs due to occlusion or inhibition of blood supply to the brain which is known as Ischemic stroke, whereas rupturing of blood vessels to the brain causes hemorrhagic stroke. Imaging techniques such as CT and MRI have played a huge role in the visualization of stroke lesions. Segmentation of the salvageable tissue and its outcome of how it affects a person’s lifestyle is the key focus of research as automated model is highly recommended to reduce the time and increase the accuracy in the prediction of stroke lesion in comparison to manual intervention.
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Papers by sylvia irish