Emotion intensity
EmoAtt at EmoInt 2017: Inner attention sentence embedding for Emotion Intensity
... On the other hand, our model also offers us very interesting insights on how the learning is per- formed, since we can inspect the attention weights that the neural network is assigning to each spe- cific token when ...
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NSEmo at EmoInt 2017: An Ensemble to Predict Emotion Intensity in Tweets
... on emotion inten- ...an emotion E, de- termine the intensity of the emotion E felt by the author of the ...The intensity is a real-valued score between 0 and ...possible emotion ...
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DMGroup at EmoInt 2017: Emotion Intensity Using Ensemble Method
... To train and validate our models for this task, we used the dataset provided for Shared Task on Emotion Intensity. ( Mohammad, S.M, et al2017) We obtained 857 instances from the training datasets and 84 ...
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IMS at EmoInt 2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning
... cross-emotional intensity pre- dictions: IMS trains a classifier for each emotion in ...trained emotion-wise but for each instance we also provide the intensity prediction from all other ...
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YZU NLP at EmoInt 2017: Determining Emotion Intensity Using a Bi directional LSTM CNN Model
... the maximum length in the training set. A linear activation function is used in the output layer. Other hyper-parameters are presented in Table 2. Evaluation metrics. The EmoInt-2017 task pub- lished the results for all ...
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WASSA 2017 Shared Task on Emotion Intensity
... the intensity of emotion felt by the speaker of a ...fine-grained intensity scores (rankings of tweets by ...The emotion intensity dataset and the shared task are helping improve our ...
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Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets
... Network Architecture: The input layer passes the 443 dimensional vector into 4 subsequent hid- den layers (L1, L2, L3, L4) (the left half of Figure 1). We use Rectified Linear Unit (‘relu’) (Maas et al., 2013) as an ...
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NUIG at EmoInt 2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity
... The English language datasets provided for the WASSA competition are relatively clean but small, and the annotated labels for four emotions are precise and valuable. We performed experi- ments on the provided data ...
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Seernet at EmoInt 2017: Tweet Emotion Intensity Estimator
... As described in Section 2.2 various syntax features were used namely, Part-of-Speech tags, brown clusters of TweetNLP project. However, these didn’t perform well in cross validation. Hence, they were dropped from the ...
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Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
... Hendrik Schuff, Jeremy Barnes, Julian Mohme, Sebastian Padó and Roman Klinger . . . . . . . . . . . 13 Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups Matthias Hartung, ...
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American Sign Language: an influence on graphic design problem-solving
... Explanatory Diagram Communication Modes American Sign Language Meaning Concept Substance Content Ideas Feelings Emotion Intensity Direction Handshape Orientation Emphasis Urgency Repetit[r] ...
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Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis
... The emotion analysis on sentence level may also be important for more detailed emotion anal- ysis ...text-based emotion prediction problem; they annotated a corpus of 22 Grimms tales on sentence ...
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Mood Related Negative Bias in Response to Affective Stimuli in Patients with Major Depression
... mean intensity ratings of all six basic emotions for affective facial ...each emotion category separately (2 × 6 ANOVAs), with group and rater’s sex as between-subjects ...target emotion ...
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The effect of alcohol intoxication on emotion perception and emotion perception ability: investigating possible gender differences
... different emotion intensity ...successful emotion perception ability is important as it encourages self-monitoring and allows for adequate opportunity to modify their behavioural response, which may ...
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A study of economic reasoning among college students in relation to emotional intelligence
... The mental ability model focuses on emotions themselves and their interactions with though. Emotional intelligence refers in part of an ability to recognize the meanings of such emotional patterns and to reason and ...
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Alcohol, empathy, and morality : acute effects of alcohol consumption on affective empathy and moral decision making
... Pre-intervention Prior to arriving at the experiment, partici- pants were reminded to refrain from drinking alcoholic bev- erages within 12 h of the experiment beginning. All conditions first completed the personality ...
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Protecting my Self through Language: Developmental Differences in Narrative Accounts following a Self-threatening Experience
... Previously discussed studies have examined changes in narrative accounts over time. These next studies examined internal states differences across narrative accounts of three different sets of experiences: narratives ...
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Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions
... Unlike the widely applied annotation of valence (positive-neutral-negative) in sentiment analysis, we annotated a wider range of emotions in meta- phorical texts. The corpus proposed by Moham- mad et al. (2016) focused ...
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Emotion and emotion science
... The emotion “rep- resents” impinging events (the real content) in terms of these appearances (the nomi- nal content) just as we “represent” (track) dogs by appearances such as “furry, panting barker” rather than ...
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Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories
... First, emotion usually precedes ...to emotion, Carroll Izard wrote that “an emotion feeling remains functional and motivational without being symbolized and made accessible in reflective ...
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