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首页> 外文会议>International Conference on Design Science Research in Information Systems and Technology >An OOV-Aware Curation Process for Psycholinguistic Analysis of Social Media Text - A Hybrid Approach
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An OOV-Aware Curation Process for Psycholinguistic Analysis of Social Media Text - A Hybrid Approach

机译：社会媒体文本精神语言学分析的OOV感知策策 - 一种混合方法

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摘要

Massive user generated social media text posits new opportunities as well as challenges for psycholinguistic analysis to understand individual differences such as personality. Traditional off-the-shelf NLP (Natural Language Processing) tools perform poorly when analyzing text from social media because of the frequent out-of-vocabulary (OOV) words usage. Existing dictionary-based, closed-vocabulary approach and data-driven, open-vocabulary approach are both limited in handling OOV words. This research designs an OOV-aware curation process with a specific focus on OOV words. Following a design science research process model, the curation process is designed through four design cycles. The curation process includes a hybrid approach that integrates closed-vocabulary dictionary with expanded OOV categories and open-vocabulary approach with normalized OOV words. The curation process would enable psycholinguistic researchers and practitioners to exploit more psycholinguistic cues for tasks similar to personality predictions using social media text.
机译：大规模用户生成的社交媒体文本占据新的机会以及精神语言学分析的挑战，以了解个性等个人差异。由于频繁失败的话语（OOV）用法分析社交媒体文本，传统的现成NLP（自然语言处理）工具表现不佳。基于现有的字典，闭合词汇方法和数据驱动，开放词汇方法都是有限的处理OOV字。这项研究设计了一个OOV感知的策策过程，具有特定于OOV字的焦点。在设计科学研究过程模型之后，策择流程通过四个设计周期设计。策策过程包括混合方法，其与统一的OOV类别的扩展OOV类别和开放词汇方法集成了闭合词汇字典。策策过程将使心理学研究人员和从业者能够利用类似于使用社交媒体文本的人格预测的任务的更多精神语言学线索。

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