193 research outputs found
Affect Analysis of Radical Contents on Web Forums Using SentiWordNet
The internet has become a major tool for communication, training, fundraising, media operations, and recruitment, and these processes often use web forums. This paper presents a model that was built using SentiWordNet, WordNet and NLTK to analyze selected web forums that included radical content. SentiWordNet is a lexical resource for supporting opinion mining by assigning a positivity score and a negativity score to each WordNet. The approaches of the model measure and identify sentiment polarity and affect the intensity of that which appears in the web forum. The results show that SentiWordNet can be used for analyzing sentences that appear in web forums
Sentiment Analysis Of Web Forums: Comparison Between SentiWordNet And SentiStrength
Internet has become a major tool for communication, training, fundraising, media operations, and recruitment, and these processes often use web forums. This paper intended to find suitable technique for analysing selected web forums that included radical content by presenting a comparison between SentiWordNet and SentiStrength. SentiWordNet is a lexical resource for supporting opinion mining by assigning a positivity score and a negativity score to each WordNet. SentiStrength is a technique that was developed from comments on MySpace. It uses human-designed lexical and emotional terms with a set of amplification, diminishing and negation rules. The results have been presented and discussed
Effects of Photoperiods and Temperatures Upon Early Growth of Tall Fescue & Ladino Clover at Various Lengths of Growing Period
Tall fescue (Festuca arundinacea) is widely grown in the Pacific coast and in the southern states of the United States. In the south, its greatest value is to provide winter grazing. During summer months, it either goes dormant, dies out or cannot compete with adapted warm season species. However, tall fescue is considered to have a wide adaptation. One variety of tall fescue with a large acreage is Kentucky 31, which comes into prominence because of its ability to make considerable growth and provide pasturage during the winter and early spring. Ladino clover (Trifolium repens var. Ladino) is one of the most important pasture legumes in the United States. It is a highly palatable and nutritious forage for livestock and poultry. When grown in association with pasture grasses, ladino supplies nitrogen to the grasses. This usually results in increased yield and improved quality of forage. In the lower part of the southern states, it is generally looked upon as a winter annual, though a few plants may live through the summer without making much growth. The reason for the disappearance of stands is not clearly known. The bloat hazard from grazing ladino clover alone has brought about the more general use of grass-ladino pastures. Tall fescue is widely used with ladino clover because in fescue-clover pastures, quality of forage is much higher than fescue alone. Therefore, maintaining the clover is an important management practice but has proved to be difficult for most farmers. The main weakness of ladino clover as a forage is the short life stands in pastures. Failure of stands may be the result of several environmental factors associated with weather. The effects of weather are most critical during the period of germination and in the early seedling stage. Perhaps the greatest losses, in an effort and substance, are sustained through a failure “to get a stand” of the seeded grass or legume than through any subsequent steps in a forage crop program (1, 14, 19). Thus, it seems advisable to determine what environmental conditions are necessary to obtain a satisfactory stand. The environmental conditions are necessary to obtain a satisfactory stand. The environmental conditions investigated were temperature and photoperiods. The purpose of this preliminary study, therefore, was to try to determine the effects of photoperiods and temperatures upon early growth of tall fescue and ladino clover seedlings at various lengths of growing period
CELLULAR TRAFFICKING PROPERTIES AND PHYSIOLOGICAL FUNCTIONS OF THE á1-ADRENOCEPTOR SUBTYPES
The 1-adrenoceptors (1-ARs) serve as an interface between the sympathetic nervous system and the cardiovascular system where they are mediators of systemic arterial blood pressure, initiators of positive inotropy, and regulators of cellular growth responses. There are three subtypes: 1A-, 1B-, and 1D-ARs. This dissertation research investigated the trafficking properties of the 1-ARs at the cellular level as well as physiological relevance of the 1-ARs at the tissue level. In vitro studies using transiently transfected 1-AR/GFP subtypes revealed distinct basal localization patterns and different agonist-mediated activation and desensitization properties. The 1A- and the 1B-AR/GFP subtypes displayed agonist-mediated receptor redistribution, in which rate and degree of redistribution differed. Additionally, redistribution of either of these two receptor subtypes required arrestin-1, a protein often associated with receptor internalization. In contrast, the 1D-AR/GFP did not require arrestin-1 for maintaining the basal receptor orientation pattern. Although these data increase our knowledge of trafficking properties of the 1-AR subtypes, it is of equal importance to determine the role(s) that each subtype contributes to cardiovascular function. The lack of subtype-selective 1-AR pharmacological agents prompted the use of genetically manipulated mouse models with a systemic overexpression of a constitutively active 1B-AR. Echocardiographic analysis of transgenic hearts indicated both an enlarged left ventricular chamber in the absence of hypertrophy and a depressed cardiac function. From isolated transgenic hearts, experimental results suggested a role for the 1B-AR in attenuating the inotropic responses. However, experiments using isolated thoracic aortae from transgenic animals suggested that the 1B-AR does not participate in vascular smooth muscle contractile responses. Additional studies investigated the role of 1D-AR in cardiovascular function by using animals systemically lacking the 1D-AR subtype. Experimental data suggested an 1D-AR participation in vascular smooth muscle function since the deficiency of the 1D-AR subtype affected vasoconstriction in the coronary arteries but not inotropy in the heart. The data presented in this dissertation research suggest subtype specific differences of 1-ARs in cellular localization, signal regulation, and trafficking. Additionally, the data provide an investigation into the physiologic significance of both the 1B- and the 1D-ARs in cardiovascular tissue
Parsing Thai Social Data: A New Challenge for Thai NLP
Dependency parsing (DP) is a task that analyzes text for syntactic structure
and relationship between words. DP is widely used to improve natural language
processing (NLP) applications in many languages such as English. Previous works
on DP are generally applicable to formally written languages. However, they do
not apply to informal languages such as the ones used in social networks.
Therefore, DP has to be researched and explored with such social network data.
In this paper, we explore and identify a DP model that is suitable for Thai
social network data. After that, we will identify the appropriate linguistic
unit as an input. The result showed that, the transition based model called,
improve Elkared dependency parser outperform the others at UAS of 81.42%.Comment: 7 Pages, 8 figures, to be published in The 14th International Joint
Symposium on Artificial Intelligence and Natural Language Processing
(iSAI-NLP 2019
Sentiment Analysis: State of the Art
We present the state of art in sentiment analysis which covers the purpose of sentiment analysis, levels of sentiment analysis and processes that could be used to measure polarity and classify labels. Moreover, brief details about some resources of sentiment analysis are included
TJP: using Twitter to analyze the polarity of contexts
This paper presents our system, TJP, whic
Effects of Game-Based Learning Management on Learning Achievement in Mathemathics of Geometric Shape and Volume of Rectangular Shape for 6th Grade Students of Srinakharinwirot University Prasarnmit Demonstration School (Elementary)
The purpose of this research was to create and determine the efficiency of game-based learning lesson plan on mathematics learning achievement of geometric shape and volume of rectangular shape, to compare learning achievement before and after game-based learning management, and to study satisfaction towards game-based learning management. The samples of the study were 60 students of 6th grade at Srinakharinwirot University Prasarnmit Demonstration School (Elementary) in 2nd semester of 2022, which was obtained by purposive sampling. The tools used were 5 game-based learning lesson plans for 6th grade students (15 periods), a 30-item mathematics learning achievement test of 6th grade students and a satisfaction questionnaire on game-based learning management. The research design was the one group pretest-posttest and the statistics used were efficiency determination E1/E2, mean, standard deviation, and t-test for dependent sample. The research results were as follows: 1) The efficiency of process of game-based learning lesson plan which was developed for 6th grade students was 87.71 and the efficiency of product was 80.44 which complied to the defined criteria of 80/80; 2) After game-based learning management, 6th grade students had higher mathematics learning achievement of geometric shape and volume of rectangular shape than that of before learning at the statistical significance level of .01; 3) After game-based learning management, 6th grade students were satisfied with game-based learning management of geometric shape and volume of rectangular shape at the highest level
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