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    Identifying Objective and Subjective Words via Topic Modeling

    • B.TECH / M.TECH / M.SC / PH.D

    •  GANGADHAR.T

    • 13 Months ago

    It is observed that distinct words in a given document have either strong or weak ability in delivering facts (i.e., the objective sense) or expressing opinions (i.e., the subjective sense) depending on the topics they associate with. Motivated by the intuitive assumption that different words have varying degree of discriminative power in delivering the objective sense or the subjective sense with respect to their assigned topics.

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    Learning Supervised Topic Models for Classification and Regression from Crowds

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    The growing need to analyze large collections of documents has led to great developments in topic modeling. Since documents are frequently associated with other related variables, such as labels or ratings, much interest has been placed.

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    Using Semantic Similarity in Crawling-based Web Application Testing

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    To automatically test web applications, crawlingbased techniques are usually adopted to mine the behavior models, explore the state spaces or detect the violated invariants of the applications. However, their broad use is limited by the required manual configurations for input value selection, GUI state comparison and clickable detection.

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    Personal Web Revisitation by Context and Content Keywords with Relevance Feedback

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    Getting back to previously viewed web pages is a common yet uneasy task for users due to the large volume of personally accessed information on the web. This paper leverages human’s natural recall process of using episodic and semantic memory cues to facilitate recall, and presents a personal web revisitation

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    Two-Stage Friend Recommendation Based on Network Alignment and Series-Expansion of Probabilistic Topic Model

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    Precise friend recommendation is an important problem in social media. Although most social websites provide some kinds of auto friend searching functions, their accuracies are not satisfactory. In this paper, we propose a more precise auto friend recommendation method with two stages.

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    Analysis of users behaviour in structured e-commerce websites

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    Online shopping is becoming more and more common in our daily lives. Understanding users interests and behaviour is essential in order to adapt e-commerce websites to customers requirements. The information about users behaviour is stored in the web server logs.

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    Analyzing Sentiments in One Go A Supervised Joint Topic Modeling Approach

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    In this work, we focus on modeling user-generated review and overall rating pairs, and aim to identify semantic aspects and aspect-level sentiments from review data as well as to predict overall sentiments of reviews.

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    Opinion Dynamics-Based Group Recommender Systems

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    With the accessibility to information, users often face the problem of selecting one item (a product or a service) from a huge search space. This problem is known as information overload. Recommender systems (RSs) personalize content to a user’s interests to help them select the right item in information overload scenarios.

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