Use of NLP Based Combined Features for Sentiment Classification

Kalaivani, K.; Kuppuswami, Prof.S.

doi:10.35940/ijeat.f8290.109119

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…Following Kuppuswamy’s classification [ 13 , 14 ], a self-administered questionnaire was prepared and validated by five professionals in the field of dental implants and then used. The questionnaire was comprised of three parts.…”

Section: Methodsmentioning

confidence: 99%

Perception, sentiments, and the level of awareness toward the dental implant among general population in Sulaimaniyah City, Iraq

Amin

2024

BMC Oral Health

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Background Edentulism is one of the most commonly encountered conditions affecting the oral cavity. Dental implants have emerged as a widely accepted treatment option prosthodontically. However, lack of public awareness and the cost of the treatment act as barriers to limit their applicability. Objectives To investigate the perception, sentiments, and level of awareness toward dental implants among the general population in Sulaimaniyah City, Iraq. Materials and methods A questionnaire-based survey was conducted on 1132 participants in Sulaimaniyah City, Iraq, from February 15, 2023, till August 15, 2023, to collect their sociodemographic data, knowledge and attitudes toward dental implants for their missing tooth/teeth. Results The mean age of participants was 41.3 ± 14.6 years, and most (30.7%) belong to the age group 31–44 years. Also, most of them were males (63.6%), married (75.3%), educated (91.3%), from rural areas (82.3%), and had > 1 missing tooth (75%). Regarding the participants’ knowledge of dental implants, most had information (78.4%)/heard about it (83.3%), mainly from dentists (43.6%); however, least of them (21.5%) /their family members (43%) had replaced missing teeth by dental implants. Additionally, the participant’s attitudes toward the dental implant indicated that most of them were interested in replacing their missing teeth (88.8%) but did not do it due to financial reasons (87%) and considered replacement as a significant (92.5%) and safe process (79.2%). Also, most of them thought there was no substantial difference between artificial and natural tooth appearance/function (47.9%), preferred the delayed implant for dental implant (47.7%), and would like to do an implant due to problems in dental appearance, speech, or dental function (81.5%). Finally, significant/highly significant differences were seen between each participant’s factor (age, gender, marital status, education level, and residency) with most items of attitude/awareness toward dental implants. Conclusions Most participants were aware of the knowledge and attitude of dental implants for replacing missing tooth/teeth, especially males, married ones, educated individuals, and those from urban areas; however, financial problems are the main obstacle. Additionally, the delayed implant is preferable for replacing missing tooth/teeth using dental implants among studied individuals.

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Section: Methodsmentioning

confidence: 99%

Perception, sentiments, and the level of awareness toward the dental implant among general population in Sulaimaniyah City, Iraq

Amin

2024

BMC Oral Health

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“…Combined together with other methods they have many various applications, like: spell checking (e.g. in search engines) [12], [13], word correction [14], [15], text categorization [16] or word based sentiment classification [17]. One advantage of the n-gram method is that it is language independent.…”

Section: Related Workmentioning

confidence: 99%

Polish Word Recognition Based on n-Gram Methods

Wojcicki,

Zientarski

2024

IEEE Access

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Word recognition of Slavic languages is not an easy task due to the complicated declension of words and a variety of diacritical signs. Polish is a representative of West Slavic languages, which are written in Latin characters. Automatic handwritten word recognition in Slavic languages is not easy, due to the poor recognition rate of letters with diacritical signs and lack of good handwritten text corpora for languages with declension. The main aim of the research is to investigate the possibility of correcting typos made in the final phase of recognizing Polish. The method developed is based on letter recognition by means of convolutional neural networks (CNNs) and text matching algorithms for resulting words. At the first stage, we use a designed convolutional neural network for character recognition. At the second stage, after combining letters into words we apply a post-processing error correction method, which improves the efficiency of recognition of the misspelled words. We checked the efficiency of word matching for a few measures of similarity of words, i.e: edit distance (Damerau-Levenshtein), string matching (Sorensen-Dice) and list of candidates. In addition, we examine how word length and the number of misplaced letters affect the behaviour of the algorithms used. The analysis is carried out for bigram and trigram methods. By combining different methods to assess the similarity of words, better selection of lists of proposed words has been achieved. The article proposes an innovative method for correcting post-processing errors in recognizing Polish words with the efficiency of correct word matching ranging from 76% to 99%, depending on the measure and word length used.

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“…Following the Kuppuswamy's classi cation [10,11], a validated, self-administered questionnaire was composed of 3 parts. The rst part was used to collect participant's sociodemographic data, including age, gender, marital status, education level, and residency.…”

Section: Questionnairementioning

confidence: 99%

Perception, Sentiments, and the Level of Awareness toward the Dental Implant among General Population in Sulaimaniyah City, Iraq

Amin

2023

Preprint

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Background: Edentulism is one of the most commonly encountered conditions affecting the oral cavity. Dental implants have emerged as a widely accepted treatment option prosthodontically. However, lack of public awareness and the cost of the treatment act as barriers to limit their applicability. Objectives: To investigate the perception, sentiments and level of awareness toward the dental implant among the general population in Sulaimaniyah City, Iraq. Materials and Methods: A questionnaire-based survey was conducted on 1132 participants in Sulaimaniyah City, Iraq, from February 15, 2023, till August 15, 2023, to collect their sociodemographic data, knowledge and attitudes toward dental implants for their missing tooth/teeth. Results: The mean age of participants was 41.3±14.6 years, and most (30.7%) belong to the age group 31 - 44 years. Also, most of them were males (63.6%), married (75.3%), educated (91.3%), from rural areas (82.3%), and had >1 missing tooth (75%). Regarding the participants' knowledge of dental implants, most had information (78.4%) /heard about it (83.3%), mainly from dentists (43.6%); however, least of them (21.5%) /their family members (43%) had replaced missing teeth by dental implants. Additionally, the participant's attitudes toward the dental implant indicated that most of them were interested in replacing their missing teeth (88.8%) but did not do it due to financial reasons (87%) and considered replacement as a very important (92.5%) and safe process (79.2%). Also, most of them thought there was no substantial difference between artificial and natural tooth appearance/function (47.9%), preferred the conventional method for dental implant (47.7%), and would like to do an implant due to problems in dental appearance, speech, or dental function (81.5%). Finally, significant/highly significant differences were seen between each participant's factor (age, gender, marital status, education level, and residency) with most items of attitude/awareness toward dental implants. Conclusions: Most participants were aware of the knowledge and attitude of dental implant for replacing missing tooth/teeth, especially males, married ones, educated individuals, and those from urban area; however, financial problem is the main obstacle. Additionally, the conventional method is preferable for replacing missing tooth/teeth using dental implants among studied individuals.

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Use of NLP Based Combined Features for Sentiment Classification

Cited by 9 publications

References 9 publications

Perception, sentiments, and the level of awareness toward the dental implant among general population in Sulaimaniyah City, Iraq

Perception, sentiments, and the level of awareness toward the dental implant among general population in Sulaimaniyah City, Iraq

Polish Word Recognition Based on n-Gram Methods

Perception, Sentiments, and the Level of Awareness toward the Dental Implant among General Population in Sulaimaniyah City, Iraq

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