Resources

We are openning research datasets and source codes.
Please cite the specifide paper when use.

Image emotion labels (“positive”, “negative”, “neutral”) were added to Flickr and Instagram images using crowdsourcing. A csv file containing image IDs and the number of people assigned to each emotion label is distributed.
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MATLAB source codes of TrendNets are distributed. This function returns the adjacency matrix of the network representing the trends for each time interval, taking the time series of the adjacency matrix of the cooccurrence network as an argument.
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Emotion scores were assigned to each emoji using a Japanese tweet set. There are three emotion labels (“positive”, “negative”, “neutral”) and five types (“anger”, “sadness”, “happiness”, “negative-fear”, “Disgust”) are available.
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URLs of 1977 map images collected from Stroly.com. Each map are labeled a category corresponding to their themes.
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