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This paper presents our experimental work on performance evaluation of the SentiWordNet approach for document-level sentiment classification of Movie reviews and Blog posts. We have implemented SentiWordNet approach with different variations of linguistic features, scoring schemes and aggregation thresholds. We used two pre-existing large datasets of Movie(More)
This paper presents our experimental work on evaluation of Machine Learning based classification approaches (Naïve Bayes and SVM) with the Unsupervised Semantic Orientation based SO-PMI-IR algorithm for sentiment analysis of movie review texts. We have used both pre-existing data sets and our own dataset collection comprising of a large number of(More)
This paper describes our experimental work on computational analysis of socio-political blog data through a novel combine of sophisticated language processing and visualization techniques. We have designed an integrated framework by utilizing Topic Modeling, Entity Extraction and Sentiment Analysis; to draw sociologically relevant inferences from(More)
This paper describes our proposed approach for computational analysis of thematic blog data through a novel combine of sophisticated Information Retrieval and Language Processing Techniques. We have implemented algorithms for Topic Modeling, Entity Extraction and Sentiment Classification with a view to draw sociologically relevant inferences from freeform(More)
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