Microblog Messages

Microblog messages pose severe challenges for current sentiment analysis techniques due to some inherent characteristics such as the length limit and informal writing style. In this paper, we study the …...

The paper describes experiments using grid searches over various combinations of ma- chine learning algorithms, features and pre- processing strategies in order to produce the optimal systems for sentiment classification …...

High-quality parallel data is crucial for a range of multilingual applications, from tuning and evaluating machine translation systems to cross-lingual annotation pro- jection. Unfortunately, automatically ob- tained parallel data (which …...

This paper presents ongoing work to de- velop an earthquake detector based on near-real-time microblog messages from China. The system filters earthquake re- lated keywords from Sina Weibo messages available …...

Conventional topic models are ineffec- tive for topic extraction from microblog messages since the lack of structure and context among the posts renders poor message-level word co-occurrence pat- terns. In …...

AbstractIn this paper we propose an ensemble based model which combines state of the art deep learning sentiment analysis algorithms like Convolution Neural Network (CNN) and Long Short Term Memory …...