Publications related to Sentiment analysis

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

This paper introduces a model of multiple-instance learning applied to the prediction of aspect ratings or judgments of specific properties of an item from user-contributed texts such as product reviews. Each variable-length text is represented by several ...

2014

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Andrei Popescu-Belis, Nikolaos Pappas

This paper introduces a model of multiple-instance learning applied to the prediction of aspect ratings or judgments of specific properties of an item from user-contributed texts such as product reviews. Each variable-length text is represented by several ...

2014

Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose

Boi Faltings, Claudiu-Cristian Musat, Marina Boia

One of the reasons sentiment lexicons do not reach human-level performance is that they lack the contexts that define the polarities of words. While obtaining this knowledge through machine learning would require huge amounts of data, context is commonsens ...

Springer-Verlag Berlin2014

Prediction of Helpful Reviews using Emotions Extraction

Pearl Pu Faltings, Lionel Jérémie Martin

Reviews keep playing an increasingly important role in the decision process of buying products and booking hotels. However, the large amount of available information can be confusing to users. A more succinct interface, gathering only the most helpful revi ...

2014

EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets

Pearl Pu Faltings, Claudiu-Cristian Musat, Valentina Sintsova, Renato Kempter

Spectators are increasingly using social platforms to express their opinions and share their emotions during big public events. Those reactions reveal the subjective perception of the event and extend its understanding. This has motivated us to develop a s ...

2014

EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets

Pearl Pu Faltings, Claudiu-Cristian Musat, Valentina Sintsova, Renato Kempter

Spectators are increasingly using social platforms to express their opinions and share their emotions during big public events. Those reactions reveal the subjective perception of the event and extend its understanding. This has motivated us to develop a s ...

2014

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Barbara Caputo

There has been increasing interest in applying learning algorithms to improve the dexterity of myoelectric prostheses. In this work, we present a large-scale benchmark evaluation on the second iteration of the publicly released NinaPro database, which cont ...

2014

Targeting HIV-related Medication Side Effects and Sentiment Using Twitter Data

Marcel Salathé

We present a descriptive analysis of Twitter data. Our study focuses on extracting the main side effects associated with HIV treatments. The crux of our work was the identification of personal tweets referring to HIV. We summarize our results in an infogra ...

2014

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Pearl Pu Faltings, Claudiu-Cristian Musat, Valentina Sintsova

Each tweet is limited to 140 characters. This constraint surprisingly makes Twitter a more spontaneous platform to express our emotions. Detecting emotions and correctly classifying them automatically is an increasingly important task if we want to underst ...

2014

Subject-oriented training for motor imagery brain-computer interfaces

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Successful operation of motor imagery (MI)-based brain-computer interfaces (BCI) requires mutual adaptation between the human subject and the BCI. Traditional training methods, as well as more recent ones based on co-adaptation, have mainly focused on the ...

2014

Sentiment analysis

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose

Prediction of Helpful Reviews using Emotions Extraction

EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets

EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Targeting HIV-related Medication Side Effects and Sentiment Using Twitter Data

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Subject-oriented training for motor imagery brain-computer interfaces

Graph Chatbot

Chat with Graph Search

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis

Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose

EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Subject-oriented training for motor imagery brain-computer interfaces

Prediction of Helpful Reviews using Emotions Extraction

EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Targeting HIV-related Medication Side Effects and Sentiment Using Twitter Data