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- W4387677332 abstract "Sentiment Analysis is analyzing text and extracting information like negative or positive opinion. It is also known as opinion mining. Due to the increase in social media usage sentiment analysis has become increasingly important as there is a lot of human generated data for example comments, reviews etc. that can be used to understand the sentiments of a person. Large organizations work on sentiment analysis systems. This system helps them in real world data analytics such as customer reviews on their product, brand engagement, surveys, etc. Moreover, this review paper encompasses a concise summary of relevant research papers, providing a holistic view of the advancements in sentiment analysis. By unraveling the techniques and exploring the challenges, this paper aims to contribute to the deeper understanding of sentiment analysis, paving the way for future improvements in this field." @default.
- W4387677332 created "2023-10-17" @default.
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- W4387677332 date "2023-09-20" @default.
- W4387677332 modified "2023-10-17" @default.
- W4387677332 title "Unveiling Sentiment Analysis: Exploring Techniques and Navigating Challenges" @default.
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- W4387677332 doi "https://doi.org/10.1109/icosec58147.2023.10275819" @default.
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