Search Results for author: Taro Miyazaki

Found 10 papers, 1 papers with code

Twitter Geolocation using Knowledge-Based Methods

no code implementations WS 2018 Taro Miyazaki, Afshin Rahimi, Trevor Cohn, Timothy Baldwin

Automatic geolocation of microblog posts from their text content is particularly difficult because many location-indicative terms are rare terms, notably entity names such as locations, people or local organisations.

Entity Linking Graph Embedding +1

Classification of Tweets about Reported Events using Neural Networks

no code implementations WS 2018 Kiminobu Makino, Yuka Takei, Taro Miyazaki, Jun Goto

To classify Tweets in this task, this paper proposes a method to input and concatenate character and word sequences in Japanese Tweets by using convolutional neural networks.

Classification General Classification

Mining Tweets that refer to TV programs with Deep Neural Networks

no code implementations WS 2019 Takeshi Kobayakawa, Taro Miyazaki, Hiroki Okamoto, Simon Clippingdale

The automatic analysis of expressions of opinion has been well studied in the opinion mining area, but a remaining problem is robustness for user-generated texts.

Opinion Mining

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