The major contributions of the research include the (i) proposal of weighted high-order HMMs to determine the most likely sequence of sentence emotions in an article.
The experimental results show that the proposed weighted high-order HMMs is quite powerful in identifying sentence emotions compared with several state-of-the-art machine learning algorithms and the standard n-order hidden Markov emotion models.
AIM speak is basically abbreviations for sentences, emotions, or words.
During "Love," an acerbic look at the need for tenderness, Mr. Thompson railed about the life sentence that emotion brings.
To that end, the following procedures are presented: First, we evaluate the performance of several classifiers in short sentence speech emotion recognition architectures.
The number of sentences per emotion per time-point was 8. Every ten seconds a new sentence was presented.
Lloyd turns out to be a rather endearing combination of humility and loopiness, someone who will express, in one sentence, sincere emotions and, in the next, reveal a prankster who delights in conversational awkwardness.
Built on an open source library for sentence-based emotion recognition, the sentiment analysis algorithm splits emotions into six types: happiness, sadness, fear, anger, disgust and amazement.
Exploratory factor analysis (102 males, 118 females) and confirmatory factor analysis (123 males, 200 females) yielded a four-factor multi-dimensional measure that differentiates between attitudes toward justice and vengeance, as well as between different dimensions underlying these motives (vengeance-sentence, vengeance-emotion, justice-fairness, justice-legal).
The word "ferry", so natural and particular, unhinges the sentence and lets emotion flood in.
