Aspect Based Sentiment Analysis of Unlabeled Reviews Using Linguistic Rule Based LDA

In this digital era, people are very keen to share their feedback about any product, services, or current issues on social networks and other platforms. A fine analysis of these feedbacks can give a clear picture of what people think about a particular topic. This work proposed an almost unsupervised Aspect Based Sentiment Analysis approach for textual reviews. Latent Dirichlet Allocation, along with linguistic rules, is used for aspect extraction. Aspects are ranked based on their probability distribution values and then clustered into predefined categories using frequent terms with domain knowledge. SentiWordNet lexicon uses for sentiment scoring and classification. The experiment with two popular datasets shows the superiority of our strategy as compared to existing methods. It shows the 85% average accuracy when tested on manually labeled data.

Aspect Based Sentiment Analysis of Unlabeled Reviews using Linguistic Rule Based LDA

In this digital era, people are very keen to share their feedback about any product, services, or current issues on social networks and other platforms. A fine analysis of these feedbacks can give a clear picture of what people think about a particular topic. This work proposed an almost unsupervised Aspect Based Sentiment Analysis approach for textual reviews. Latent Dirichlet Allocation, along with linguistic rules, is used for aspect extraction. Aspects are ranked based on their probability distribution values and then clustered into predefined categories using frequent terms with domain knowledge. SentiWordNet lexicon uses for sentiment scoring and classification. The experiment with two popular datasets shows the superiority of our strategy as compared to existing methods. It shows the 85% average accuracy when tested on manually labeled data.

Do Children With Developmental Language Disorder Activate Scene Knowledge to Guide Visual Attention? Effect of Object-Scene Inconsistencies on Gaze Allocation

Our visual environment is highly predictable in terms of where and in which locations objects can be found. Based on visual experience, children extract rules about visual scene configurations, allowing them to generate scene knowledge. Similarly, children extract the linguistic rules from relatively predictable linguistic contexts. It has been proposed that the capacity of extracting rules from both domains might share some underlying cognitive mechanisms. In the present study, we investigated the link between language and scene knowledge development. To do so, we assessed whether preschool children (age range = 5;4–6;6) with Developmental Language Disorder (DLD), who present several difficulties in the linguistic domain, are equally attracted to object-scene inconsistencies in a visual free-viewing task in comparison with age-matched children with Typical Language Development (TLD). All children explored visual scenes containing semantic (e.g., soap on a breakfast table), syntactic (e.g., bread on the chair back), or both inconsistencies (e.g., soap on the chair back). Since scene knowledge interacts with image properties (i.e., saliency) to guide gaze allocation during visual exploration from the early stages of development, we also included the objects’ saliency rank in the analysis. The results showed that children with DLD were less attracted to semantic and syntactic inconsistencies than children with TLD. In addition, saliency modulated syntactic effect only in the group of children with TLD. Our findings indicate that children with DLD do not activate scene knowledge to guide visual attention as efficiently as children with TLD, especially at the syntactic level, suggesting a link between scene knowledge and language development.

The Existence of Indonesian Language in the Digital Era in the Perspective of Philosophy of Science (Axiology)

Indonesian is the identity of all Indonesian citizens. Language itself is very important for human life. With language, we can communicate with one another, considering that humans are social creatures who cannot live without each other's help. However, the use of language should not be underestimated. The use and pronunciation must be properly understood so that there are no misunderstandings or other unwanted things. The development of the times and globalization have affected the existence of languages that are currently starting to lose their authenticity. One example is the use of slang as a daily word until the authenticity (original word) is slowly forgotten. As well as the use of foreign languages that are more attractive to the millennial generation. The lack of interest of the younger generation in learning linguistic rules is also one of the factors in changing the existence of Indonesian. The background of the research is about the existence of language, especially Indonesian to the changing era. The purpose of writing this paper is to show the public, especially the millennial generation the importance of maintaining the existence of linguistic rules. Because as good citizens we must maintain and preserve our national identity.

Large Scale System for Social Media Data Warehousing

Social media data become an integral part in the business data and should be integrated into the decisional process for better decision making based on information which reflects better the true situation of business in any field. However, social media data are unstructured and generated in very high frequency which exceeds the capacity of the data warehouse. In this work, we propose to extend the data warehousing process with a staging area which heart is a large scale system implementing an information extraction process using Storm and Hadoop frameworks to better manage their volume and frequency. Concerning structured information extraction, mainly events, we combine a set of techniques from NLP, linguistic rules and machine learning to succeed the task. Finally, we propose the adequate data warehouse conceptual model for events modeling and integration with enterprise data warehouse using an intermediate table called Bridge table. For application and experiments, we focus on drug abuse events extraction from Twitter data and their modeling into the Event Data Warehouse.

A Modified Markov Based Maximum-entropy Model for POS Tagging of Odia Text

POS (Parts of Speech) tagging, a vital step in diverse Natural Language Processing (NLP) tasks has not drawn much attention in case of Odia a computationally under-developed language. The proposed hybrid method suggests a robust POS tagger for Odia. Observing the rich morphology of the language and unavailability of sufficient annotated text corpus a combination of machine learning and linguistic rules is adopted in the building of the tagger. The tagger is trained on tagged text corpus from the domain of tourism and is capable of obtaining a perceptible improvement in the result. Also an appreciable performance is observed for news articles texts of varied domains. The performance of proposed algorithm experimenting on Odia language shows its manifestation in dominating over existing methods like rule based, hidden Markov model (HMM), maximum entropy (ME) and conditional random field (CRF).

REGARDING THE ACTIVITY OF A NATIONAL PARK DIRECTOR IN ENSURING THE SAFETY OF TOURISTS VISITING NATIONAL PARK AREAS

Purpose. The aim of the article is to analyse a national park director's legal position, roles, tasks and legal forms of operations in ensuring the safety of tourists visiting a national park. The objective of this analysis is also to determine whether the legal position, competencies and legal forms of activity at the disposal of the national park director are sufficient to ensure the safety of tourists visiting the national park. Method. The theoretical nature of this article determines the choice of research methods and their application. A dogmatic method (analytical and dogmatic) involving legal exegesis using linguistic and non-linguistic rules of legal interpretation is the predominant method applied in the article. Findings. The national park director’s legal status (including his/her position in the system of administering entities) is not clearly defined by the legislator and therefore, raises doubts. The legislature has not explicitly included this entity into the local authorities of consolidated and non-consolidated government administration. The legislator defines a national park director as a national park authority and a nature protection authority, directly indicating that this authority performs the tasks of a regional director aimed at nature protection within the national park area. The director of a national park may be classified as an administering entity, or on account of his/her tasks and powers, a public administration authority in a functional sense. However, it is misleading to treat national park directors as public administration authorities sensu stricto, i.e. the authorities who are part of the state machinery (authorities acting directly on behalf of the state or local self-governments), whose basic and, in principle, sole purpose is to perform public administration tasks (e.g. minister, province administrator, commune head). However, some authors consider national park directors to be public administration bodies sensu stricto [Makuch 2020, p. 527]. It has been confirmed in research that there is great diversity concerning tasks, powers and legal forms of operations at the disposal of a national park director, which can be used to ensure the safety of tourists visiting national parks. These are legal and factual activities of regulatory and non-regulatory nature. The tasks and competencies of national park directors include, first of all, protecting national park resources (environmental protection), which is the essence of their existence, and also providing access to national parks so as to ensure the safety of people who visit them. Research and conclusions limitations. The author focuses on analysis of the national legal framework. The origin of institutions and comparative legal analyses have been omitted. Practical implications. In the research, the current legal status is shown, and this can be considered the basis for further legislative work. Originality. To date, research on the national park directors' tasks, roles and legal forms of operation in ensuring the safety of tourists visiting national parks has been very scarce. Most of such issues are raised while discussing wider problems related to nature protection as well as tourism, and are not subject to in-depth examination [Wolski 2010, pp. 75-83]. In this context, it is worth noting that not only the national park directors' tasks and legal forms of activity require detailed analysis and evaluation, but their status in the state system and position in the system of administering entities as well. The current findings in this field are not sufficiently comprehensive and require further clarification. Type of paper. The article presents some theoretical concepts. It is a general overview article.

Song Transmission as a Formal Cultural Practice

From a biological point of view, the singing of songs is based on the human vocal learning capacity. It is universally widespread in all cultures. The transmission of songs is an elementary cultural practice, by which members of the older generations introduce both musico-linguistic rules and affect-regulative means to the younger ones. Traditionally, informal singing in familiar settings primarily subserves affect-regulation goals, whereas formal song transmission is embedded in various normative claims and interests, such as preserving cultural heritage and representing collective and national identity. Songs are vocal acts and abstract models that are densely structured and conform to cultural rules. Songs mirror each generations’ wishes, desires, values, hopes, humor, and stories and rest on unfathomable traditions of our cultural and human history. Framed in the emerging scientific field of didactics, I argue that research on formal song transmission needs to make explicit the norms and rules that govern the relationships between song, teacher, and pupils. I investigate these three didactic components, first, by conceptualizing song as rule-governed in terms of a grammar, with songs for children representing the most elementary musico-linguistic genre. The Children’s Song Grammar presented here is based on syllables as elements and on syntactic rules concerning timing, tonality, and poetic language. It makes it possible to examine and evaluate songs in terms of correctness and well-formedness. Second, the pupils’ learning of a target song is exemplified by an acoustical micro-genetic study that shows how vocalization is gradually adapted to the song model. Third, I address the teachers’ role in song transmission with normative accounts and provide exemplary insights into how we study song teaching empirically. With each new song, a teacher teaches the musico-linguistic rules that constitute the respective genre and conveys related cultural feelings. Formal teaching includes self-evaluation and judgments with respect to educational duties and aesthetic norms. This study of the three-fold didactic process shows song transmission as experiencing shared rule-following that induces feelings of well-formedness. I argue that making the inherent normativity of this process more explicit – here systematically at a descriptive and conceptual level – enhances the scientificity of this research domain.

An HMM-Based PoS Tagger for Old Church Slavonic

We present a hybrid HMM-based PoS tagger for Old Church Slavonic. The training corpus is a portion of one text, Codex Marianus (40k) annotated with the Universal Dependencies UPOS tags in the UD-PROIEL treebank. We perform a number of experiments in within-domain and out-of-domain settings, in which the remaining part of Codex Marianus serves as a within-domain test set, and Kiev Folia is used as an out-of-domain test set. Analysing by-PoS-class precision and sensitivity in each run, we combine a simple context-free n-gram-based approach and Hidden Markov method (HMM), and added linguistic rules for specific cases such as punctuation and digits. While the model achieves a rather non-impressive accuracy of 81% in in-domain settings, we observe an accuracy of 51% in out-of-domain evaluation, which is comparable to the results of large neural architectures based on pre-trained contextual embeddings.

Qawaid Tafsir dan Ushul Tafsir Siti Aisyah dalam Kitab Sahih Muslim

Qawaid Tafsir has a purpose, namely the rules needed by commentators in understanding the verses of the Qur'an. The rules needed by the exegetes in understanding the Qur'an include appreciation of its uslubs, understanding of its origins, mastery of its secrets and linguistic rules. Siti Aisyah's contribution in the Interpretation of the Qur'an has become a reference for many mufassirins, whose interpretation results are written in the books of Hadith, there is even a special section of the Muslim hadith books, namely the chapter on the hadith books of interpretation. How qawaid and ushul interpretation siti aisyah in the book of hadith Sahih Muslim is the goal of solving the problem of this article. The method used in this research is Systematic Literature Review (SLR) which is a systematic way to collect, critically evaluate, integrate and present findings from various research studies on research questions or topics of interest. The SLR provides a way to assess the level of quality of existing evidence on a question or topic of interest. The SLR provides a broader and more accurate level of understanding than traditional literature reviews. The results of this study were found five verses interpreted by Siti Aisyah in the book of Hadith Sahih Muslim. The details of the explanation can be seen in the discussion chapter. This research is useful for developing the results of the interpretation of the Companions in mapping the methodology of interpretation, qawaid Tafsir and Usul Tafsir.