Hutchatai Chanlekha's research while affiliated with Kasetsart University and other places
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Publications (12)
Student performance prediction is one of the educational data mining tasks that has received great deal of attentions. It enables the educators to improve the quality and effectiveness of classroom management and to help students achieve better academic performance. However, one of the major challenges in developing a prediction model in a traditio...
In this paper, we report our work on exploring techniques to automatically generate the playlists for personal media player. The proposed approach intends to be able to perform on a standard personal computer platform. Given the first song, the system automatically generates the playlist from personal music collection based on the continuity of the...
Sentiment analysis has gained so much interest from many companies and organizations in Thailand. However, there are a few research studies focused on developing Thai sentiment lexicon, which is an important resource for the sentiment analysis. In this work, we developed a web-based automatic Thai lexicon construction tool. Our tool employed a semi...
Emergency medicine, under the National Institute for Emergency Medicine or NIEM, is medical care that covers pre-hospital services for unscheduled ill or injured patients, without discrimination. In emergency situations, if the victim is unconscious then accessing updated personal health records by the rescue team is necessary. Accessing patient re...
In this paper, we propose an effective rice crop planning system based on a knowledge engineering approach with hybrid knowledge representation, i.e., ontologies and rules, to help farmers make decisions in choosing their rice variety and planning cultivation. A critical challenge is to develop a recommendation system that supports and fulfills far...
This work presents a system called Rice Watch, which has been developed to track, extract and process market price information and production yield for strategic planning in the economics and marketing of rice. Even though many sources of market information, such as commodity prices and stocks, are available on websites at any given time, such info...
Data sharing is essential for government agencies during disaster management as it requires high collaborative efforts among various organizations. Recently, social media have been increasingly used during emergencies and disasters for disseminating and receiving information to and from the public. By using social media for communications, the gove...
As electronic communications is now increasing, the term Natural Language Processing should be considered in the broader aspect of Multi-Language processing system. Observation of the language behavior will provide a good basis for design of computational language model and also creating cost-effective solutions to the practical problems. In order...
In this paper, we introduce a web service with the efficient methodology that drastically reduces the amount of time required when finding information about people. The task is to extract the intended information from WWW and to integrate all necessary information for providing one stop service in person information tracking. There are three main c...
The role of Named entity (NE) extraction is very important in many NLP tasks, such as information extraction, etc. In Thai, the problems of NE extraction are much more difficult due to the character- istics of Thai language, that are lack of orthographical information to signal NEs, and no boundary indicator between words. In this paper, we present...
For agricultural information access, some useful information such as how to analyze symptom of plant diseases and how to protect plant from diseases is in unstructured format and scattered the entire document. Moreover, information is rapidly increasing causing information to become overwhelming in size, so extraction of only significant and intere...
Citations
... On the other hand, traditional classrooms have limited information related to students cognitive and non-cognitive attributes. A study proposed ANN based prediction model with limited number of students' attributes and achieved 62.5% accuracy (Chanlekha & Niramitranon, 2018). Feature selection is used to find correlation between students' academic features and results. ...
... e naive Bayesian field classifier was applied to classify the text field where the polysemous sentiment word was located, so as to distinguish the sentiment polarity of the word. Chanlekha et al. [18] developed a semiautomatic sentiment dictionary construction tool for sentiment analysis in ai. is method utilized sentiment cooccurrence and contextual consistency features to propagate sentiment polarity to unresolved sentiment feature pairs. Naseem and Musial [19] proposed a sentiment analysis method DICET based on a converter. ...
... WCs 20 [32,33,35,36,37,40,41,42,39,50,54,57,58,64,71,43,60,67,44,45] SP 19 [32,35,36,37,38,40,41,42,39,50,57,69,68,71,43,65,66,60,45] Geography 17 [35,33,36,37,38,40,41,42,39,50,54,69,71,65,70,67,45] CPR 9 [32,35,40,39,50,64,70,44,45] CP 9 [35,39,50,54,57,69,64,67,44] Market 4 [32,35,37,40] remains necessary to extract other information to build an e cient CR. This information was grouped previously in the soil property category and they are pHvalue, soil type and nutrient availability where they were cited respectively in [15], [11] and [10]. ...
... Rice Watch is a project supported by the Agriculture Research Development Agency, which aims to develop a methodology and platform for data integration and knowledge fusion from scattered data stored in relational and spatial databases, gathering data from weather station sensors and mobile devices, and knowledge from websites that are totally unstructured and which contain natural language texts. Rice Watch also provides several services [2], such as personalized crop planning, disease diagnosis, rice variety suggestions, a rice knowledge bank, and a search function, including a context-aware service. The success factors of this project strongly depend on cohesive working networks and multisector engagement, including the government agencies that own the data. ...
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... The participation of women as an important segment of rural population in agriculture is germane to sustainable agricultural development. Hence, promoting access to and utilization of various categories of agricultural information that can support farmers and rural development therefore plays an important role in the social and economic development of a nation (Mangual, 2010). The contributions of women in agriculture are poorly understood and their specific information needs are ignored in the development planning. ...
... The selection of these diseases is motivated by the rapidly increasing number of patient cases in Thailand, e.g., diabetes [28]. This step involves using Thai word segmentation tools [29] including named entity recognition [30,31] on each disease-symptom corpus. After the word segmentation has been achieved on the corpora, EDU segmentation is then dealt with [32,33]. ...
... Consequentemente isso causa dificuldades na troca automática e compartilhamento do conhecimento do negócio entre as diferentes instituições, desafios que prejudicam a plenitude do Governo aberto na geração de valor a toda a cadeia econômica (Shadbolt et al., 2012). Kawtrakul et al. (2012) ...
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... Orchid contained approximately 43,000 sentences covering 568,316 words from Thai junior encyclopedias and NECTEC technical papers with several annotations including part-of-speech (POS), word and sentence boundaries, and pronunciation. Kawtrakul et al. (2002) listed resources such as dictionaries and corpora including the NAiST text corpus (Kawtrakul et al. 1995) that consisted of 60,511,974 words, with word and sentence boundary tags, that was created with the primary aim of collecting magazine documents for training and evaluating a writing assistance system. There has been a significant impact on Thai word segmentation from the availability of the BEST corpus, but a similar resource does not exist for Thai MT. ...
Reference: A review of Thai–English machine translation
... In the case of the DCS web site our goal is to generate metadata describing members of the department, therefore we must extract this legacy data to enable the relevant metadata descriptions to be built. Work within the field of information extraction provides similar scenarios to the problems which we face, For instance extraction of person information from within HTML documents has been addressed in [14] by segmenting HTML documents into components based on the Document DOM of the web pages. Person information is then extracted using induced wrappers from labelled personal pages. ...
