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Synecdoche is a rhetorical trope and a kind of metonymy—a figure of speech using a term to denote one thing to refer to a related thing. [9] [10]Synecdoche (and thus metonymy) is distinct from metaphor, [11] although in the past, it was considered a sub-species of metaphor, intending metaphor as a type of conceptual substitution (as Quintilian does in Institutio oratoria Book VIII).
Anthropomorphism and anthropomorphization derive from the verb form anthropomorphize, [a] itself derived from the Greek ánthrōpos (ἄνθρωπος, lit. "human") and morphē (μορφή, "form").
Furthermore, African Americans were likely to attribute both negative and positive reviews to prejudice if they could be seen by the evaluator. Being visible (and thus vulnerable to being stereotyped based on race) helped African Americans cope with negative reviews, but also made them more likely to discredit positive reviews.
Fritz Heider discovered Attribution theory during a time when psychologists were furthering research on personality, social psychology, and human motivation. [5] Heider worked alone in his research, but stated that he wished for Attribution theory not to be attributed to him because many different ideas and people were involved in the process. [5]
An attributive verb is a verb that modifies (expresses an attribute of) a noun in the manner of an attributive adjective, rather than express an independent idea as a predicate. In English (and in most European languages), verb forms that can be used attributively are typically non-finite forms — participles and infinitives — as well as ...
An attribute is a piece of data (a "statistic") that describes to what extent a fictional character in a role-playing game possesses a specific natural, ...
Metalepsis uses a familiar word or a phrase in a new context. [13] For example, "lead foot" may describe a fast driver; lead is proverbially heavy, and a foot exerting more pressure on the accelerator causes a vehicle to go faster (in this context unduly so). [14] The figure of speech is a "metonymy of a metonymy". [13]
The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).