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- research-articleJuly 2024
Suicidal Thought Detection using Max Voting Ensemble Technique
Procedia Computer Science (PROCS), Volume 235, Issue CPages 2587–2598https://doi.org/10.1016/j.procs.2024.04.244AbstractOnline social networking (SN) data presents a data stream that is rich in context and temporal information. It holds promise for predicting suicidal thoughts and behaviors. The fusion of SN data with machine learning algorithms offers a potential ...
- research-articleJune 2023
Product recommendation using enhanced convolutional neural network for e-commerce platform
Cluster Computing (KLU-CLUS), Volume 27, Issue 2Pages 1639–1653https://doi.org/10.1007/s10586-023-04053-3AbstractIn the present scenario, the product recommendation system is important to boost sales on many e-commerce websites. The majority of the existing product recommendation systems completely rely on the customer’s website browsing history or ...
- research-articleNovember 2022
A survey on syntactic processing techniques
Artificial Intelligence Review (ARTR), Volume 56, Issue 6Pages 5645–5728https://doi.org/10.1007/s10462-022-10300-7AbstractComputational syntactic processing is a fundamental technique in natural language processing. It normally serves as a pre-processing method to transform natural language into structured and normalized texts, yielding syntactic features for ...
- ArticleApril 2023
Methods for Creating a Morphological Analyzer
AbstractThe morphological analysis process is an important component of natural language processing systems such as spelling correction tools, parsers, machine translation systems, and electronic dictionaries. This article describes the stages of a text ...
- research-articleOctober 2022
An Enhanced Exploration of Sentimental Analysis in Health Care
- Kannan Chakrapani,
- Muniyegowda Kempanna,
- Mohamed Iqubal Safa,
- Thiyagarajan Kavitha,
- Manikandan Ramachandran,
- Vidhyacharan Bhaskar,
- Ambeshwar Kumar
Wireless Personal Communications: An International Journal (WPCO), Volume 128, Issue 2Pages 901–922https://doi.org/10.1007/s11277-022-09981-8AbstractThe medical dataset replicates the patient's crucial information, such as important details regarding the patient's health. It includes disease diagnoses, interventions, and descriptions of the examined results. Also, detecting the mindset of an ...
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- ArticleSeptember 2022
Context-free Transformer-based Generative Lemmatiser for Polish
AbstractIn this paper we present a new approach to the problem of lemmatisation in inflectional languages on the example of Polish. We made an introduction to the problem domain, described the solution used – the Transformer architecture and learning ...
- research-articleSeptember 2022
A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 26, Issue 17Pages 8253–8272https://doi.org/10.1007/s00500-022-07261-yAbstractThe article examined the deep learning models and Fastai text classification technique to predict the medical speech utterances, transcriptions, and intent to extract the 25 medicals problems. The experimental work was conducted using a large ...
- articleJuly 2022
Aspect-Based Sentiment Analysis of Online Reviews for Business Intelligence
International Journal of Information Technologies and Systems Approach (IJITSA-IGI), Volume 15, Issue 3Pages 1–21https://doi.org/10.4018/IJITSA.307029COVID-19 pandemic has affected the patients to a large extent who are in immediate need of medical care. Now-a-days people rely on online reviews shared on review websites to gather information about hospitals like the availability of beds, ...
- ArticleSeptember 2021
SYN2020: A New Corpus of Czech with an Innovated Annotation
AbstractThe paper introduces the SYN2020 corpus, a newly released representative corpus of written Czech following the tradition of the Czech National Corpus SYN series. The design of SYN2020 incorporates several substantial new features in the area of ...
- research-articleSeptember 2021
Representing variation in a spoken corpus of an endangered dialect: the case of Torlak
Language Resources and Evaluation (SPLRE), Volume 55, Issue 3Pages 731–756https://doi.org/10.1007/s10579-020-09522-4AbstractThe paper presents a spoken corpus of the endangered Torlak dialect from the Timok area of Southeast Serbia. This dialect expresses a great deal of variation in the use of non-standard features under the influence of standard Serbian (SSr). ...
- research-articleMarch 2021
Deep analysis of an Arabic sentiment classification system based on lexical resource expansion and custom approaches building
International Journal of Speech Technology (SPIJST), Volume 24, Issue 1Pages 109–126https://doi.org/10.1007/s10772-020-09758-zAbstractSentiment analysis aims to extract emotions from a broad set of data. This paper studies the impact of lexical resource enrichment on Arabic Sentiment Analysis. At first and as there is a lack of Arabic lexical resources in the field of sentiment ...
- research-articleJanuary 2021
Deep Learning Approach for Automatic Romanian Lemmatization
Procedia Computer Science (PROCS), Volume 192, Issue CPages 49–58https://doi.org/10.1016/j.procs.2021.08.006AbstractThis paper proposes a deep learning sequence-to-sequence approach to improve the task of automatic Romanian lemmatization. The study compares 24 systems using different combinations of recurrent, convolutional and attention layers, while the text ...
- ArticleNovember 2020
Approach to Extract Keywords and Keyphrases of Text Resources and Documents in the Kazakh Language
AbstractIn this paper authors propose a hybrid approach for extracting keywords and keyphrases of text resources and documents in Kazakh. Direct application of the statistical method tf-idf is not the optimal solution to the question of extracting ...
- research-articleAugust 2020
Predicting the customer’s opinion on amazon products using selective memory architecture-based convolutional neural network
The Journal of Supercomputing (JSCO), Volume 76, Issue 8Pages 5923–5947https://doi.org/10.1007/s11227-019-03081-4AbstractOpinion mining and sentiment analysis are useful to extract subjective information out of bulk text documents. Predicting the customer’s opinion on amazon products has several benefits like reducing customer churn, agent monitoring, handling ...
- articleJanuary 2020
Improvisation of Cleaning Process on Tweets for Opinion Mining
International Journal of Big Data and Analytics in Healthcare (IJBDAH), Volume 5, Issue 1Pages 49–59https://doi.org/10.4018/IJBDAH.2020010104In the current scenario, high accessibility to computational facilities encourage generation of a large volume of electronic data. Expansion of the data has persuaded researchers towards critical analyzation so as to extract the maximum possible ...
- ArticleSeptember 2019
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER
AbstractContextualized embeddings, which capture appropriate word meaning depending on context, have recently been proposed. We evaluate two methods for precomputing such embeddings, BERT and Flair, on four Czech text processing tasks: part-of-speech (POS)...
- research-articleSeptember 2019
A hybrid approach for Arabic lemmatization
International Journal of Speech Technology (SPIJST), Volume 22, Issue 3Pages 563–573https://doi.org/10.1007/s10772-018-9528-3AbstractWe present in this article an Arabic lemmatizer that assigns to each word of an Arabic sentence, a single lemma taking into account the word context. The proposed system comprises two modules. The first one consists in an analysis out of context, ...
- ArticleAugust 2019
Benchmarking NLP Toolkits for Enterprise Application
PRICAI 2019: Trends in Artificial IntelligencePages 289–294https://doi.org/10.1007/978-3-030-29894-4_24AbstractNatural Language Processing (NLP) is an important technology that motivates the form of AI applications today. Many NLP libraries are available for researchers and developers to perform standard NLP tasks (such as segmentation, tokenization, ...
- ArticleMay 2019
Design and Development of Pipeline of Preprocessing Tools for Kazakh Language Texts
Human Language Technology. Challenges for Computer Science and LinguisticsPages 129–142https://doi.org/10.1007/978-3-031-05328-3_9AbstractNowadays, the Kazakh language belongs to the category of less-resourced languages, as there is a small number of resources developed and accessible to a wide range of users, such as text corpora, electronic dictionaries, morphological analyzers, ...