The Layout of Sentiment Lexica in Word Vector Space

2020 ◽  
pp. 321-338
Author(s):  
Elena Razova ◽  
Evgeny Kotelnikov
Keyword(s):  
Vector Space ◽  
Cognitive Linguistics ◽  
Opinion Mining ◽  
Joint Analysis ◽  
Multidimensional Space ◽  
Fundamental Properties

Sentiment lexicons play an important role in opinion mining systems and cognitive linguistics. Previous work aimed mostly at creating sentiment lexicons, but not thorough research into their fundamental properties. In this chapter, the arrangement of sentiment lexica in the multidimensional space of distributed word representations is studied. A hypothesis on the existence of sentiment lexica concentration areas is introduced, and it is tested on the basis of the joint analysis of the distribution of sentiment words and general lexica. The results of the test allow to confirm the proposed hypothesis for universal and domain-oriented sentiment lexicons. Also, the experiments discover the words which more than 80% of the sentiment lexica is concentrated around.

Concentration Areas of Sentiment Lexica in the Word Embedding Space

2019 ◽  
Vol 13 (2) ◽  
pp. 48-62
Author(s):  
Elena Razova ◽  
Evgeny Kotelnikov
Keyword(s):  
Cognitive Linguistics ◽  
Opinion Mining ◽  
Word Embedding ◽  
Joint Analysis ◽  
Multidimensional Space ◽  
Fundamental Properties

Sentiment lexicons play an important role in opinion mining systems and cognitive linguistics. Previous work aimed mostly at creating sentiment lexicons, but not thorough research into their fundamental properties. In this paper the arrangement of sentiment lexica in the multidimensional space of distributed word representations is studied. A hypothesis on the existence of sentiment lexica concentration areas is introduced and it is tested on the basis of the joint analysis of the distribution of sentiment words and general lexica. The results of the test allow to confirm the proposed hypothesis and discover the words which more than 80% of the sentiment lexica is concentrated around.

scholarly journals M-Hazy Vector Spaces over M-Hazy Field

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1118
Author(s):  
Faisal Mehmood ◽  
Fu-Gui Shi
Keyword(s):  
Vector Space ◽  
Linear Transformation ◽  
Binary Operation ◽  
Vector Spaces ◽  
Fundamental Properties ◽  
Classical Algebra ◽  
Important Development ◽  
Fuzzy Algebra ◽  
Convex Spaces

The generalization of binary operation in the classical algebra to fuzzy binary operation is an important development in the field of fuzzy algebra. The paper proposes a new generalization of vector spaces over field, which is called M-hazy vector spaces over M-hazy field. Some fundamental properties of M-hazy field, M-hazy vector spaces, and M-hazy subspaces are studied, and some important results are also proved. Furthermore, the linear transformation of M-hazy vector spaces is studied and their important results are also proved. Finally, it is shown that M-fuzzifying convex spaces are induced by an M-hazy subspace of M-hazy vector space.

scholarly journals ωb-Topological Vector Spaces

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Vector Space ◽  
Topological Vector Space ◽  
Vector Spaces ◽  
Closed Set ◽  
Topological Vector Spaces ◽  
New Class ◽  
Fundamental Properties ◽  
General Properties

The purpose of the present paper is to introduce the new class of ω b - topological vector spaces. We study several basic and fundamental properties of ω b - topological and investigate their relationships with certain existing spaces. Along with other results, we prove that transformation of an open (resp. closed) set in aω b - topological vector space is ω b - open (resp. closed). In addition, some important and useful characterizations of ω b - topological vector spaces are established. We also introduce the notion of almost ω b - topological vector spaces and present several general properties of almost ω b - topological vector spaces.

COGNITIVE LINGUISTIC PERSPECTIVES ON THE CHINESE LANGUAGE

2013 ◽  
Vol 09 (02) ◽  
pp. 237-260 ◽  
Author(s):  
YINGXU WANG
Keyword(s):  
Cognitive Linguistics ◽  
Chinese Language ◽  
Long Term Memory ◽  
Scientific Language ◽  
Knowledge Framework ◽  
Fundamental Properties ◽  
Advantages And Disadvantages ◽  
Processing Power ◽  
Convergent Approach ◽  
The Brain

Chinese is one of the oldest and most widely used languages with an ideographic writing system. It is curious to analyze the advantages and disadvantages of Chinese in cognitive linguistics, cognitive informatics, and knowledge science. This paper presents a comparative study on the fundamental theories and formal models of Chinese and other languages. A number of interesting findings on the cognitive and social impacts of the widely used Chinese language are revealed. It is found that, although the idiographic languages are more efficient in language manipulation, the alphabetic languages contributed more to the development of the knowledge processing power of the brain. A set of fundamental properties of knowledge is elicited, which reveals that the knowledge space of an individual is proportional to both the number of concepts and the number of their relations developed in long-term memory of the brain. Toward a more powerful and efficient scientific language for rigorous inference, the expression means of the Chinese language may yet need to be extended in its abstraction mechanisms and a convergent approach to integrate and synergize observations and truths in order to form rigorous theories and a formal knowledge framework. The findings of this work provide a foundation for comparative studies on Chinese and other languages in particular, and for cognitive linguistics and knowledge science in general.

A lectometric analysis of aggregated lexical variation in written Standard English with Semantic Vector Space models

2016 ◽  
Vol 21 (1) ◽  
pp. 48-79 ◽  
Author(s):  
Tom Ruette ◽  
Katharina Ehret ◽  
Benedikt Szmrecsanyi
Keyword(s):  
Vector Space ◽  
American English ◽  
Joint Analysis ◽  
Standard English ◽  
Time Dimension ◽  
British English ◽  
Lexical Variation ◽  
Time Period ◽  
Space Modeling ◽  
Vector Space Modeling

Lectometry is a corpus-based methodology that explores how multiple language-external dimensions shape language usage in an aggregate perspective. The paper combines this methodology with Semantic Vector Space modeling to investigate lexical variability in written Standard English, as sampled in the original Brown family of corpora (Brown, LOB, Frown and F-LOB). Based on a joint analysis of 303 lexical variables, which are semi-automatically extracted by means of a SVS, we find that lexical variation in the Brown family is systematically related to three lectal dimensions: discourse type (informative versus imaginative), standard variety (British English versus American English), and time period (1960s versus 1990s). It turns out that most lexical variables are sensitive to at least one of these three language-external dimensions, yet not every dimension has dedicated lexical variables: in particular, distinctive lexical variables for the real time dimension fail to emerge.

Russian Citizens' Representations of the Country's Position in the Geopolitical Space of the Commonwealth of Independent States, Europe, and the World

2003 ◽  
Vol 8 (4) ◽  
pp. 238-251
Author(s):  
Victor F. Petrenko ◽  
Olga V. Mitina ◽  
Kirill A. Bertnikov
Keyword(s):  
Well Being ◽  
Multidimensional Space ◽  
Commonwealth Of Independent States ◽  
Repertory Grids ◽  
Implicit Model ◽  
The World ◽  
Public Consciousness ◽  
Independent States ◽  
Invariant Factors

The aim of this research was the reconstruction of the system of categories through which Russians perceive the countries of the Commonwealth of Independent States (CIS), Europe, and the world as a whole; to study the implicit model of the geopolitical space; to analyze the stereotypes in the perception of different countries and the superposition of mental geopolitical representations onto the geographic map. The techniques of psychosemantics by Petrenko, originating in the semantic differential of Osgood and Kelly's “repertory grids,” were used as working tools. Multidimensional semantic spaces act as operational models of the structures of consciousness, and the positions of countries in multidimensional space reflect the geopolitical stereotypes of respondents about these countries. Because of the transformation of geopolitical reality representations in mass consciousness, the commonly used classification of countries as socialist, capitalist, and developing is being replaced by other structures. Four invariant factors of the countries' descriptions were identified. They are connected with Economic and Political Well-being, Military Might, Friendliness toward Russia, and Spirituality and the Level of Culture. It seems that the structure has not been explained in adequate detail and is not clearly realized by the individuals. There is an interrelationship between the democratic political structure of a country and its prosperity in the political mentality of Russian respondents. Russian public consciousness painfully strives for a new geopolitical identity and place in the commonwealth of states. It also signifies the country's interest and orientation toward the East in the search for geopolitical partners. The construct system of geopolitical perception also depends on the region of perception.

Lean diabetes: A joint analysis of the German DIVE and DPV registries

2017 ◽  
Vol 12 (S 01) ◽  
pp. S1-S84
Author(s):  
B Hartmann ◽  
F Groß ◽  
P Bramlage ◽  
S Lanzinger ◽  
T Danne ◽  
...  
Keyword(s):  
Joint Analysis

‘[T]his world is now thy pilgrimage’: William Michael Rossetti's Cognitive Maps of France and Italy

2018 ◽  
Vol 8 (1) ◽  
pp. 84-99
Author(s):  
Eleonora Sasso
Keyword(s):  
Cognitive Linguistics ◽  
Venice Lagoon ◽  
Cognitive Map ◽  
Reference Points ◽  
Late Nineteenth Century ◽  
Mental Picture ◽  
Historical Figures ◽  
Starting Point ◽  
Cognitive Semantic ◽  
St Helena

This paper takes as its starting point the conceptual metaphor ‘life is a journey’ as defined by Lakoff and Johnson (1980) in order to advance a new reading of William Michael Rossetti's Democratic Sonnets (1907). These political verses may be defined as cognitive-semantic poems, which attest to the centrality of travel in the creation of literary and artistic meaning. Rossetti's Democratic Sonnets is not only a political manifesto against tyranny and oppression, promoting the struggle for liberalism and democracy as embodied by historical figures such as Napoleon, Mazzini, Cavour, and Garibaldi; but it also reproduces Rossetti's real and imagined journeys throughout Europe in the late nineteenth century. This essay examines these references in light of the issues they raise, especially the poet as a traveller and the journey metaphor in poetry. But its central purpose is to re-read Democratic Sonnets as a cognitive map of Rossetti's mental picture of France and Italy. A cognitive map, first theorised by Edward Tolman in the 1940s, is a very personal representation of the environment that we all experience, serving to navigate unfamiliar territory, give direction, and recall information. In terms of cognitive linguistics, Rossetti is a figure whose path is determined by French and Italian landmarks (Paris, the island of St. Helena, the Alps, the Venice Lagoon, Mount Vesuvius, and so forth), which function as reference points for orientation and are tied to the historical events of the Italian Risorgimento. Through his sonnets, Rossetti attempts to build into his work the kind of poetic revolution and sense of history which may only be achieved through encounters with other cultures.

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