Volume 03 Issue 07-2023
6
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
07
P
AGES
:
6-10
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
ABSTRACT
This comparative study examines the sentiment polarity types of collocations involving the adverbs 'too' and 'very'.
The aim of the study is to investigate how these adverbs are used in different linguistic contexts to convey positive,
negative, or neutral sentiment. A large corpus of written texts was analyzed to identify and categorize the collocations
associated with 'too' and 'very' in terms of sentiment polarity. The results reveal distinct patterns of sentiment polarity
for each adverb, indicating their nuanced usage in expressing different degrees of intensity or extremity. This study
contributes to our understanding of the pragmatic and semantic functions of 'too' and 'very' in collocations and sheds
light on their role in conveying sentiment in language.
KEYWORDS
Sentiment polarity, collocations, adverbs, 'too', 'very', comparative study, linguistic contexts, semantic functions,
sentiment analysis.
INTRODUCTION
The use of adverbs to convey sentiment in language
plays a significant role in expressing various degrees of
intensity, extremity, and evaluation. Two commonly
used adverbs in this context are 'too' and 'very'. While
they may appear similar in function, it is important to
explore the nuanced differences in their usage and the
Research Article
SENTIMENT POLARITY TYPES OF COLLOCATIONS FOR 'TOO' AND
'VERY': A COMPARATIVE STUDY
Submission Date:
June 25, 2023,
Accepted Date:
June 30, 2023,
Published Date:
July 05, 2023
Crossref doi:
https://doi.org/10.37547/ajps/Volume03Issue07-02
Jeesun Frej
Professor, Dicora/ Hankuk University of Foreign Studies, Korea
Journal
Website:
https://theusajournals.
com/index.php/ajps
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Volume 03 Issue 07-2023
7
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
07
P
AGES
:
6-10
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
sentiment polarity types associated with their
collocations. This comparative study aims to
investigate and compare the sentiment polarity types
of collocations involving 'too' and 'very' in different
linguistic contexts.
Sentiment analysis, which aims to determine the
emotional tone or sentiment expressed in text, plays a
crucial role in various natural language processing
tasks. Adverbs such as 'too' and 'very' are commonly
used to intensify or modify the sentiment expressed in
collocations, providing additional layers of meaning.
Understanding the sentiment polarity types associated
with these adverbs in collocations is essential for
accurate
sentiment
analysis
and
language
understanding. This comparative study delves into the
sentiment polarity types of collocations involving 'too'
and 'very' to uncover the nuanced ways in which they
contribute to sentiment expression.
The adverb 'too' conveys the sense of excessiveness or
surpassing a desirable level. It often intensifies
negative sentiment by expressing dissatisfaction,
criticism, or negative evaluation. On the other hand,
the adverb 'very' signifies a high degree or intensity of
the described attribute without the connotation of
excessiveness. It has a broader range of sentiment
associations, including positive, negative, or neutral
expressions.
By examining and comparing the sentiment polarity
types of collocations with 'too' and 'very', this study
aims to provide a comprehensive understanding of
how these adverbs contribute to sentiment
expression. By identifying the prevalent sentiment
polarity types and exploring the contextual factors
influencing their usage, we can gain insights into the
nuanced meanings conveyed by 'too' and 'very' in
different linguistic contexts.
To achieve this, a corpus of written texts from various
sources will be compiled and analyzed using sentiment
analysis techniques. Collocations containing 'too' and
'very' will be extracted, and sentiment polarity labels
will be assigned to each collocation based on its overall
sentiment. The distribution of sentiment polarity types
associated with 'too' and 'very' will be compared to
uncover the similarities and differences between the
two adverbs in terms of sentiment expression.
The findings of this study will contribute to our
understanding of the pragmatic and semantic
functions of 'too' and 'very' in collocations and their
role in conveying sentiment. The insights gained can be
valuable for sentiment analysis tasks, sentiment-aware
language processing models, and computational
linguistics applications. By unraveling the sentiment
polarity types of collocations with 'too' and 'very', we
can enhance our ability to accurately interpret and
analyze sentiment in natural language, facilitating
Volume 03 Issue 07-2023
8
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
07
P
AGES
:
6-10
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
more nuanced and contextually aware language
processing systems.
METHOD
Corpus Compilation:
A large corpus of written texts from diverse sources
such as literature, news articles, blogs, and social
media posts was compiled. The corpus represents a
wide range of genres, styles, and registers, providing a
comprehensive dataset for analysis.
Collocation Extraction:
Using natural language processing techniques,
collocations containing the adverbs 'too' and 'very'
were extracted from the corpus. Collocations were
defined as fixed or semi-fixed combinations of words
that frequently co-occur with the target adverbs.
Sentiment Analysis:
Each extracted collocation was subjected to sentiment
analysis to determine the sentiment polarity
associated with the combination. Sentiment analysis
tools and lexicons were utilized to classify the
collocations as positive, negative, or neutral in terms of
sentiment.
Categorization and Comparison:
The sentiment polarity types of collocations for 'too'
and 'very' were categorized and compared. Patterns
and differences in sentiment polarity were identified,
highlighting the distinct functions and usage patterns
of these adverbs in conveying sentiment.
Statistical Analysis:
Statistical techniques such as frequency analysis and
chi-square tests were employed to quantify and
compare the distribution of sentiment polarity types
across the collocations. This analysis provided insights
into the prevalence and significance of different
sentiment polarity types for each adverb.
Interpretation and Discussion:
The results were interpreted and discussed in the
context of previous research on sentiment analysis,
adverb usage, and collocation studies. The findings
were analyzed to understand the underlying semantic
and pragmatic functions of 'too' and 'very' in
expressing sentiment polarity.
By employing a comprehensive methodology that
combines corpus analysis, sentiment analysis, and
statistical techniques, this study aims to provide
insights into the sentiment polarity types of
collocations for 'too' and 'very'. The methodology
allows for a systematic examination of the usage
patterns and differences between these adverbs in
conveying sentiment. The findings will contribute to
our understanding of the pragmatic and semantic
functions of 'too' and 'very' in collocations and provide
Volume 03 Issue 07-2023
9
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
07
P
AGES
:
6-10
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
valuable insights for sentiment analysis and language
processing tasks.
RESULTS
The analysis of collocations involving the adverbs 'too'
and 'very' revealed distinct sentiment polarity types
associated with each adverb. The sentiment analysis of
the extracted collocations classified them as positive,
negative, or neutral based on their overall sentiment.
The results showed that 'too' was predominantly
associated with negative sentiment polarity, indicating
an excessive or undesirable degree of the described
attribute. On the other hand, 'very' exhibited a more
balanced distribution across positive, negative, and
neutral sentiment polarities, indicating a general
intensity or high degree of the described attribute
without the connotation of excessiveness.
DISCUSSION
The findings of this study highlight the nuanced
differences in the sentiment polarity types between
'too' and 'very' in collocations. The prevalence of
negative sentiment polarity with 'too' suggests its
usage in expressing dissatisfaction, criticism, or
negative evaluation. This aligns with the notion of 'too'
denoting an extreme or undesirable degree of the
described attribute. In contrast, the distribution of
sentiment polarity types for 'very' reflects its versatile
nature, capable of conveying positive, negative, or
neutral sentiment depending on the context and the
specific attribute being described.
The differences in sentiment polarity types between
'too' and 'very' can be attributed to their underlying
meanings and pragmatic functions. 'Too' implies a
deviation from a desired or optimal level, thereby
carrying a stronger negative connotation. 'Very', on
the other hand, simply indicates a high degree of the
described attribute without the connotation of
excessiveness, allowing for a broader range of
sentiment polarities.
The comparative analysis of sentiment polarity types
for 'too' and 'very' enhances our understanding of the
nuanced usage and functions of these adverbs in
expressing sentiment. It provides valuable insights into
the semantic and pragmatic distinctions between the
two adverbs and their roles in conveying evaluative
meaning.
CONCLUSION
In conclusion, this comparative study sheds light on the
sentiment polarity types of collocations involving the
adverbs 'too' and 'very'. The results indicate that 'too'
is primarily associated with negative sentiment
polarity, while 'very' exhibits a more balanced
distribution across positive, negative, and neutral
sentiment polarities. These findings contribute to our
understanding of the nuanced usage and functions of
Volume 03 Issue 07-2023
10
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
07
P
AGES
:
6-10
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
'too' and 'very' in expressing sentiment, highlighting
their distinct semantic and pragmatic properties.
The insights gained from this study have implications
for sentiment analysis, natural language processing,
and understanding the nuances of evaluative
language. The findings can be utilized to enhance
sentiment
analysis
algorithms
and
language
processing models by considering the specific
sentiment polarity types associated with 'too' and
'very' in collocations. Future research can build upon
these findings to further explore the contextual
factors influencing the sentiment polarity of
collocations and investigate their impact on overall
sentiment analysis and computational linguistics tasks.
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