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The work covers end-to-end processing from data acquisition and human labeling to feature extraction, classification, and evaluation of results. 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Their guidance, support and motivation enabled me in achieving the objectives ofthe project.  \nTABLE OF CONTENTS  \nTwitter Sentiment Analysis............................................................................................. 1  \nCERTIFICATE ............................................................................................................... 2  \nACKNOWLEDGEMENTS ............................................................................................ 4  \nABSTRACT.................................................................................................................... 8  \nINTRODUCTION .......................................................................................................... 9  \nMotivation ................................................................................................................... 9  \nDomain Introduction ................................................................................................. 10  \nLITERATURE REVIEW ............................................................................................. 13  \nLimitations of Prior Art ............................................................................................. 13  \nRelated Work............................................................................................................. 13  \nFUNCTIONALITY AND DESIGN ............................................................................. 22  \nData Acquisition:....................................................................................................... 22  \nHuman Labelling:...................................................................................................... 24  \n• Positive ........................................................................................................... 25  \n• Negative ......................................................................................................... 25  \n• Neutral/Objective ........................................................................................... 25  \n• Ambiguous ..................................................................................................... 25  \n• \u003CBlank> .......................................................................................................... 25  \nFeature Extraction: .................................................................................................... 28  \nClassification: ............................................................................................................ 37  \nTweetMood Web Application: .................................................................................. 39  \nTweetScore: .......................................................................................................... 41  \nTweetCompare: ..................................................................................................... 42  \nTweetStats: ............................................................................................................ 42  \nIMPLE","cbCairwdoH55WfZC","https://ap.wps.com/l/cbCairwdoH55WfZC","pdf",706236,53,"English","# Twitter Sentiment Analysis\n## Certificate\n## Acknowledgements\n## Abstract\n## Introduction\n## Motivation\n## Domain Introduction\n## Literature Review\n## Limitations of Prior Art\n## Related Work\n## Functionality and Design\n## Data Acquisition\n## Human Labelling\n## Feature Extraction\n## Classification\n## TweetMood Web Application\n## TweetScore\n## TweetCompare\n## TweetStats\n## Implementation and Result Discussion\n## Conclusion and Future Recommendations\n## References\n## List of Figures\n## List of Tables","[{\"question\":\"What problem does the project address?\",\"answer\":\"The project addresses sentiment analysis on Twitter, focusing on classifying tweets by sentiment-related categories.\"},{\"question\":\"How are tweets prepared and labeled for the system?\",\"answer\":\"The workflow includes data acquisition followed by human labeling, covering categories such as positive, negative, neutral/objective, and ambiguous.\"},{\"question\":\"What components are included in the overall design?\",\"answer\":\"The system comprises feature extraction and classification, plus a TweetMood web application with views for tweet scores, comparisons, and statistics.\"}]","Twitter Sentiment Analysis - Th esis Project Report | PDF",1789142952,19]