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Annotation guideline for data labelling in sentiment analysis /cMohamad Syahir Azmir
Published 2017Subjects: “…Sentiment analysis…”
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Topic extraction and sentiment analysis of subreddit - /r/Singapore
Published 2020“…To detect subjective information such as attitudes, opinions, tone, expression etc, sentiment analysis is used to analyze these data. With the rise of social media usage, the importance of sentiment analysis increases as well. …”
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Final Year Project (FYP) -
83
Information retrieval and multimodal sentiment analysis for climate change
Published 2024Subjects: Get full text
Thesis-Doctor of Philosophy -
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Sentiment analysis and summarization of movie reviews across genres.
Published 2012“…Graphical representation methods such as sentiment bar, sentiment meter, thumbs up/down, sentiment term cloud, sentiment treemap, sentiment time series, aspect-based sentiment summarization and sentiment link analysis graph (named SentiGraph) were implemented and evaluated. …”
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Thesis -
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A comparative analysis of missing data imputation techniques on sedimentation data
Published 2024“…A comparative analysis on the missing fine sediment data imputation performance was made based on four different techniques, namely the k-Nearest Neighbourhood (k-NN), Support Vector Regression (SVR), Multiple Regression (MR), and Artificial Neural Network (ANN), under the single imputation (SI) and multiple imputation (MI) regimes. …”
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An abundant bacterial phylum with nitrite-oxidizing potential in oligotrophic marine sediments
Published 2025“…Nitrosediminicola anaerotolerans) additionally appears in anoxic sediments. Counting Ca. Nitrosediminicolota as a nitrite-oxidizer helps to resolve the apparent abundance imbalance between AOA and NOB in oxic marine sediments, and thus its activity may exert controls on the nitrite budget.…”
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Semantic segmentation with less annotation efforts
Published 2020“…Semantic segmentation is a pixel-wise classification task, which is to predict class label to every pixel within an image. …”
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Thesis-Doctor of Philosophy -
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Incremental learning technologies for semantic segmentation
Published 2022“…Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. …”
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Thesis-Master by Coursework -
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Chinese text segmentation for information retrieval
Published 2008“…Despite a host of word segmentation approaches and Chinese information systems that exist today, little work has been done to co-relate segmentation performance and IR effectiveness. …”
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Thesis -
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Evaluation of watershed transform in image segmentation
Published 2008“…This dissertation develops the practical image processing toolbox, and related computer programs for the evaluation of watershed transform in image segmentation.…”
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Thesis -
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Search by image : clothing segmentation and retrieval
Published 2019“…We divide our system into two main stages: 1) Segmentation: We segment the query image into individual clothing classes, and use them as regions of interest for subsequent retrieval. 2) Retrieval: For each of the clothing item, we use image retrieval techniques to fetch visually similar products. …”
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Final Year Project (FYP) -
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Delving deeper into the whorl of flower segmentation
Published 2009“…Performance is assessed against ground truth trimap segmentations. The algorithms is also compared to several previous approaches for flower segmentation.…”
Journal article -
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An object category specific mrf for segmentation
Published 2007“…In this chapter we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. …”
Conference item -
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Learning segmentation from point trajectories
Published 2025“…<p>We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision. …”
Conference item -
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Topic extraction and sentiment analysis of a subreddit (r/coronavirus)
Published 2021“…The results showed that some negative sentiments were present among topics discussed, and vaccines were also commonly mentioned as a key topic. …”
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Final Year Project (FYP) -
100
Predicting mental health using social media sentiment analysis
Published 2024“…Predict mental health using social media sentiment analysis with a focus on Singaporean Generation Z.…”
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Final Year Project (FYP)