Words with the negative feature in ICE
The ice in voices: Understanding negative content in auditory-verbal hallucinations
... Most negative voices take the form of name-calling, criticize what someone is doing, and use aggressive or threatening phrases ( Nayani & David, 1996 ...
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Positive words carry less information than negative words
... Finally, we explore the sole influence of context by controlling for word frequency. In Ta- ble we show the partial correlation coefficients of valence with information content for context sizes between and , ...
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Feature positive and feature negative learning in honey bees
... A negative experimental control in which bees were expected to show no preference was performed using the design of treatments 2 and 3 in terms of presentation of feeding disks, but where both ...
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Negative Feedback in the Polar Ice System
... the ice make it to the headlines. Apparently, the ice coverage of our planet has varied dramatically, but somehow we are back on the same level as in ...melting ice that will lower the Earth’s albedo ...
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DECODING WORDS THROUGH NEGATIVE PREFIXES
... Finding the synonyms of the original words can help us give the meaning of prefixed words. Synonyms are words with the same meaning. D. Add the right negative prefix to each word. Choose the ...
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Positive Words about Negative Rates
... contrast, negative rates would probably most affect more financially sophisticated and market-sensitive firms and ...on negative rates to small depositors, with whom they want to maintain profitable ...
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Affirmative And Negative Words In Spanish Worksheet Answers
... affirmative negative expressions in the help students are you draw! The class as well as actively doing a little words affirmative and negative in worksheet answers areito i earn from your ...a ...
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Automatic vigilance for negative words is categorical and general
... the words from ANEW into upper, middle, and lower thirds of arousal ...level, negative and positive valence groups were created by treating valence ratings as categorically negative or ...those ...
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Feature Weighting for Co occurrence based Classification of Words
... context words become ambiguous or redundant ...each feature and weight it ...of feature weighting methods existing in machine learning, these methods are poorly explored in application to lexical ...
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Inducing a Lexicon of Abusive Words – a Feature Based Approach
... 6.2 Results In Table 10, we list the performance of the 3 state- of-the-art classifiers along with our proposed clas- sifier using our expanded lexicon on in-domain 10-fold crossvalidation. Due to space limitations, we ...
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An Image Based Feature Space and Mapping for Linking Regions and Words
... based feature space and define a mapping of both image regions and textual labels into that ...this feature space, and should also be close to the labels representing the ...and words can be ...
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Words-of-Wisdom Search System based on Positive Negative Degree
... Index Terms—Sentiment extraction, Words-of-Wisdom, Pos- itive/Negative I. I NTRODUCTION Recently, with the rapid development of the Internet, there is not only the general web, but also numerous information ...
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Negative words in 10-K’s and filing period stock returns
... the negative tone of financial ...of negative words can predict returns after the filing ...this negative word list, I analyze if the return predictability patterns still ...2018. ...
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Sonar image based advanced feature extraction and feature mapping algorithm for under ice AUV navigation
... vi ABSTRACT Navigation and localisation of AUVs are challenging in underwater or under-ice environments due to the unavoidable growth of navigational drift in inertial navigation systems and Doppler velocity logs, ...
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Feature guidance by negative attentional templates depends on search difficulty
... the negative cues, observers may have used a strategy that relies on shifting weight towards non-cued items, rather than actually suppressing the cued items (Beck & Hollingworth, 2015; Becker et ...with ...
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A Comparison of Internal Feature Measures in Statistical based New Words Extraction
... New words extraction is an indispensable task in Chinese-oriented natural language processing and text ...new words is a universal phenomenon in human language and closely related to the social ...new ...
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Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words
... This gives great impacts on almost all heterogeneous feature learning methods that need good feature alignment between different modalities. Second, Oulu-CASIA NIR&VIS database consists of two parts (one ...
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Productivity of Words with Negative Affixes in English- Albanian and Albanian-English Dictionaries
... of words and their semantics, for centuries. The role of all negative affixes in bilingual dictionaries is not widely ...the words with negative affixes existing in the source and target ...
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The Associations between Imageability of Positive and Negative Valence Words and Fear Reactivity
... emotional words was associated with a lower fear ...emotional words acts as a protective factor against high fear ...emotional words with better ease may induce the same effects as emotional-focused ...
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Attentional bias for negative, positive, and threat words in current and remitted depression
... Cognitive theories emphasize the role biased processing of affective information has in the development and maintenance of depression [ 6 , 7 , 8 , 9 , 10 ]. Many of these cognitive models include attentional bias (AB) ...
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