Sentiment analysis has so far focused on the detection of explicit opinions. However, of late implicit opinions have received broader attention, the key idea being that the evaluation of an event type by a speaker depends on how the participants in the event are valued and how the event itself affects the participants. We present an annotation scheme for adding relevant information, couched in terms of so-called effect functors, to German lexical items. Our scheme synthesizes and extends previous proposals. We report on an inter-annotator agreement study. We also present results of a crowdsourcing experiment to test the utility of some known and some new functors for opinion inference where, unlike in previous work, subjects are asked to re...
In this paper, a German verb resource for verb-centered sentiment inference is introduced and evalua...
With the rapid growth of text data on the Web and on personal devices, there is an increasing need t...
We present a descriptive analysis on the two datasets from the shared task on Source, Subjective Exp...
Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are exp...
Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are exp...
Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are exp...
Sentiment analysis aims at recognizing and understanding opinions expressed in languages. Previous w...
Opinion analysis deals with subjective phenomena such as judgments, evaluations, feelings, emotions,...
International audienceThis paper describes the CASOAR corpus, the first manually annotated corpus th...
Subject of this paper is a fine-grained multi-level annotation model to enhance opinion detection in...
In this paper, we introduce a corpus of consumer reviews from the rateitall and the eopinions websit...
This paper analyzes opinion categories like Sentiment and Arguing in meetings. We first annotate the...
In this paper, we describe a set of reusable text processing components for extracting opinionated i...
The availability of annotated data is an important prerequisite for the development of machine learn...
This paper proposes a scheme for sentiment annotation. We show how the task can be made tractable by...
In this paper, a German verb resource for verb-centered sentiment inference is introduced and evalua...
With the rapid growth of text data on the Web and on personal devices, there is an increasing need t...
We present a descriptive analysis on the two datasets from the shared task on Source, Subjective Exp...
Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are exp...
Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are exp...
Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are exp...
Sentiment analysis aims at recognizing and understanding opinions expressed in languages. Previous w...
Opinion analysis deals with subjective phenomena such as judgments, evaluations, feelings, emotions,...
International audienceThis paper describes the CASOAR corpus, the first manually annotated corpus th...
Subject of this paper is a fine-grained multi-level annotation model to enhance opinion detection in...
In this paper, we introduce a corpus of consumer reviews from the rateitall and the eopinions websit...
This paper analyzes opinion categories like Sentiment and Arguing in meetings. We first annotate the...
In this paper, we describe a set of reusable text processing components for extracting opinionated i...
The availability of annotated data is an important prerequisite for the development of machine learn...
This paper proposes a scheme for sentiment annotation. We show how the task can be made tractable by...
In this paper, a German verb resource for verb-centered sentiment inference is introduced and evalua...
With the rapid growth of text data on the Web and on personal devices, there is an increasing need t...
We present a descriptive analysis on the two datasets from the shared task on Source, Subjective Exp...