From Eliza to XiaoIce: challenges and opportunities with social chatbots

HY Shum, X He, D Li - Frontiers of Information Technology & Electronic …, 2018 - Springer
Conversational systems have come a long way since their inception in the 1960s. After
decades of research and development, we have seen progress from Eliza and Parry in the …

Emotion detection of textual data: An interdisciplinary survey

S Zad, M Heidari, H James Jr… - 2021 IEEE World AI IoT …, 2021 - ieeexplore.ieee.org
Emotion is a primary aspect of communication and can be expressed in many modalities.
Text-Based Emotion Detection (TBED), one of the fastest growing branches of Natural …

Sentiment analysis: Detecting valence, emotions, and other affectual states from text

SM Mohammad - Emotion measurement, 2016 - Elsevier
Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

[图书][B] Sentiment analysis and opinion mining

B Liu - 2022 - books.google.com
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

Harnessing twitter" big data" for automatic emotion identification

W Wang, L Chen, K Thirunarayan… - … Conference on Privacy …, 2012 - ieeexplore.ieee.org
User generated content on Twitter (produced at an enormous rate of 340 million tweets per
day) provides a rich source for gleaning people's emotions, which is necessary for deeper …

Sentiment, emotion, purpose, and style in electoral tweets

SM Mohammad, X Zhu, S Kiritchenko… - Information Processing & …, 2015 - Elsevier
Social media is playing a growing role in elections world-wide. Thus, automatically
analyzing electoral tweets has applications in understanding how public sentiment is …

Text-based emotion classification using emotion cause extraction

W Li, H Xu - Expert Systems with Applications, 2014 - Elsevier
In recent years, increasing impact of social networks on people's opinions and decision
making has attracted lots of attention. Microblogging, one of the most popular social network …

Detecting emotion stimuli in emotion-bearing sentences

D Ghazi, D Inkpen, S Szpakowicz - … , CICLing 2015, Cairo, Egypt, April 14 …, 2015 - Springer
Emotion, a pervasive aspect of human experience, has long been of interest to social and
behavioural sciences. It is now the subject of multi-disciplinary research also in …

[PDF][PDF] A text-driven rule-based system for emotion cause detection

SYM Lee, Y Chen, CR Huang - … of the NAACL HLT 2010 workshop …, 2010 - aclanthology.org
Emotion cause detection is a new research area in emotion processing even though most
theories of emotion treat recognition of a triggering cause event as an integral part of …

Unsupervised emotion detection from text using semantic and syntactic relations

A Agrawal, A An - … IEEE/WIC/ACM international conferences on …, 2012 - ieeexplore.ieee.org
Emotion detection from text is a relatively new classification task. This paper proposes a
novel unsupervised context-based approach to detecting emotion from text at the sentence …