A survey on opinion summarization technique s for social media

The volume of data on the social media is huge and even keeps increasing. The need for efficient processing of this extensive information resulted in increasing research interest in knowledge engineering tasks such as Opinion Summarization. This survey shows the current opinion summarization challenges for social media, then the necessary pre-summarization steps like preprocessing, features extraction, noise elimination, and handling of synonym features. Next, it covers the various approaches used in opinion summarization like Visualization, Abstractive, Aspect based, Query-focused, Real Time, Update Summarization, and highlight other Opinion Summarization approaches such as Contrastive, Concept-based, Community Detection, Domain Specific, Bilingual, Social Bookmarking, and Social Media Sampling. It covers the different datasets used in opinion summarization and future work suggested in each technique. Finally, it provides different ways for evaluating opinion summarization

ANALYZING IMAGE TWEETS IN MICROBLOGS

Ph.DDOCTOR OF PHILOSOPH

Comparative study on Judgment Text Classification for Transformer Based Models

This work involves the usage of various NLP models to predict the winner of a particular judgment by the means of text extraction and summarization from a judgment document. These documents are useful when it comes to legal proceedings. One such advantage is that these can be used for citations and precedence reference in Lawsuits and cases which makes a strong argument for their case by the ones using it. When it comes to precedence, it is necessary to refer to an ample number of documents in order to collect legal points with respect to the case. However, reviewing these documents takes a long time to analyze due to the complex word structure and the size of the document. This work involves the comparative study of 6 different self-attention-based transformer models and how they perform when they are being tweaked in 4 different activation functions. These models which are trained with 200 judgement contexts and their results are being judged based on different benchmark parameters. These models finally have a confidence level up to 99% while predicting the judgment. This can be used to get a particular judgment document without spending too much time searching relevant cases and reading them completely.Comment: 28 pages with 9 figure

The Customer Engagement Approaches of Influential Entrepreneurship : Based on business related Customer Engagement approaches emerged on Weibo

This study focuses on an emerging field of Influential Entrepreneurship to research the adoption of Customer Engagement Approaches as effective business strategies in China context. The aim is to establish an interactive framework combining theoretical findings and empirical evidence to illustrate the Customer Engagement Approaches enacted by Influential Entrepreneurs. The primary data is collected from expert Interviewees, and raw data is later interpreted, categorized, and grouped with thematic networks to display the logic and relationship of different terms. An interactive framework of Customer Engagement Approaches by Influential Entrepreneurs is put forward, and the framework sheds lights both on theoretical contributions and practical implications. Suggestions for future researches are discussed in the end to provide scholars with academic indications. The study confirms that Customer Engagement Approaches are vigorously employed by Influential Entrepreneurs as efficient business strategies. Influential position themselves as knowledgeable, informative, and communicative figures with commonality and attainability so as to establish profit-oriented intimate relationship via Customer Engagement Approaches. Customer Engagement approaches vary from case to case, and approaches include commoditization of contents production, management of persona, display of friendliness, presentation of perceived authenticity and intimacy, mostly through mixed social media related activities with a supplement in offline events. In this case, Influential Entrepreneurs exploit customers¡¯ desire from multiple perspectives and trigger contagion effects, leading to mutually amplified effects in economic returns, popularity, business opportunities, and communication effects. Specifically, Influential Entrepreneurs deems tangible value triggered interaction as temporary, while they consider relationship-oriented interaction as profoundly effective. Multi-channelling effects of social media platforms are particularly added to the scaling up of customer base. Influential endorsements are charged with emotional premium, which is similar with corporate charged brand premium