NLPIR/ICTCLA2018 ACADEMIC SEMINAR 3st ISSUE

NLPIR/ICTCLA2018 ACADEMIC SEMINAR 3st ISSUE自然语言处理与信息检索共享平台rEAA
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        INTRO自然语言处理与信息检索共享平台;ZVO7t a^)gGbC”_

        In the new semester, our Lab, Web Search Mining and Security Lab, plans to hold an academic seminar every Wednesdays, and each time a keynote speaker will share understanding of papers published in recent years with you.自然语言处理与信息检索共享平台I D2Xt+G$O

 

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        Arrangement自然语言处理与信息检索共享平台k.A#M ?o0N E~ T_

        This week’s seminar is organized as follows:

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        1. The seminar time is 1.pm, Wed, at Zhongguancun Technology Park ,Building 5, 1306.

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        2. The lecturer is Baohua Zhang, the paper’s title is A Societal Sentiment Analysis Predicting the Values and Ethics of individuals by analysis social media content.

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        3. The seminar will be hosted Qinghong Jiang.自然语言处理与信息检索共享平台bh6J”WC7g7N a@

        4. Attachment is the paper of this seminar, please download in advance


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        Everyone interested in this topic is welcomed to join us. the following is the abstract for this week’s paper 自然语言处理与信息检索共享平台GIHE%Mbh1mG

 

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A Societal Sentiment Analysis Predicting the Values and Ethics of individuals by analysis social media content自然语言处理与信息检索共享平台k
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Tushar Maheshwari      Aishwarya N Reganti   Samiksha Gupta  Anupam Jamatia 

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Upendra Kumar   Bj¨orn Gamb¨ack Amitava Das自然语言处理与信息检索共享平台].q
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Abstract

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        To find out how users’ social media behaviour and language are related to their ethical practices, the paper investigates applying Schwartz’ psycholinguistic model of societal sentiment to social media text. The analysis is based on corpora collected from user essays as well as social media (Facebook and Twitter). Several experiments were carried out on the corpora to classify the ethical values of users, incorporating Linguistic Inquiry Word Count analysis, n-grams, topic models, psycholinguistic lexica, speech-acts, and nonlinguistic information, while applying a range of machine learners (Support Vector Machines, Logistic Regression, and Random Forests) to identify the best linguistic and non-linguistic features for automatic classification of values and ethics.自然语言处理与信息检索共享平台’OzRRbH#El8Pz

 

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