This is an invited introduction to the first issue of the IEEE Transactions on Affective
Computing, telling personal stories and sharing viewpoints of a pioneer and visionary of the …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

A “sentence pattern” in modern Natural Language Processing is often considered as a
subsequent string of words (n-grams). However, in many branches of linguistics, like …

We present ML-Ask–the first Open Source Affect Analysis system for textual input in
Japanese. ML-Ask analyses the contents of an input (eg, a sentence) and annotates it with …

One of the burning problems lately in Japan has been cyber-bullying, or slandering and
bullying people online. The problem has been especially noticed on unofficial Web sites of …

This paper presents CAO, a system for affect analysis of emoticons in Japanese online
communication. Emoticons are strings of symbols widely used in text-based online …

This paper presents our research on automatic annotation of a five-billion-word corpus of
Japanese blogs with information on affect and sentiment. We first perform a study in emotion …

This paper presents YACIS, a new fully annotated large scale corpus of Japanese language.
The corpus is based on blog entries from Ameba blog service. The original structure (blog …

This paper presents our research in text-based affect analysis (AA) of narratives. AA
represents a task of estimating or recognizing emotions elicited by a certain semiotic …

In this paper we try to systematize the information about the available corpora for emotion
classification in text for languages other than English with the goal to find what approaches …