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Public entities such as companies and politicians increasingly use online social networks to communicate directly with their constituencies. Often, this public messaging is aimed at aligning the entity with a particular cause or issue, such as the environment or public health. However, as a consumer or voter, it can be difficult to assess an entity’s true commitment to a cause based on public messaging...
Feedback communication channels allow end-users to express their needs, which can be considered in software development and evolution. Although feedback gathering and analysis have been identified as an important topic and several researchers have started their investigation, information is scarce on how software companies currently elicit end-user feedback. In this study, we explore the experiences...
Natural language-based use cases remains the main means of requirements elicitation and specification, despite the well-known problems that accompany natural language specifications, namely their incompleteness, inconsistency and ambiguity. This paper presents a novel approach for tackling the textual description problems by using FrameNet frames, which are linguistics patterns for concept description...
This paper describes an approach to constructing sentiment lexicons in the financial domain. The approach takes advantages of news headlines and a given financial variable, such as stock prices, so as to generate candidates of sentiment expressions by fusing the two data resources. The candidates are then filtered based on their co-occurrences with financial seed words and are subsequently expanded...
This paper presents a system that combines NLP and hand-written rules for enhancing the text of authentic Web pages based on the needs of a specific language learner. It uses the Stanford CoreNLP system to process texts, and applies hand-written rules for retrieving language information that is relevant according to a given Common European Framework of Reference for Languages (CEFR) level. After the...
It is assumed that Japanese can analogize the meaning of original text if they read the original text according to the commonality of written expressions, such as the commonality of Kanji and Chinese characters in case of Chinese-Japanese translations. In this study, participants rewrote translated sentences while viewing simultaneously the original sentences written in Chinese and the translated...
Container, as a light-weight virtualization solution, emerges in recent years, and provides effective approaches for managing computing resources. Due to the complexity of the containerized computing environment, setting up runtime configuration presents a great challenge. To make better use of hardware resources and simplify the processes of environment setup, we propose a resource provisioning approach...
In this article, we explore the task of sentiment analysis for Ukrainian and Russian news, analyze different approaches and linguistics resources for sentiment analysis. We developed a corpus of Ukrainian and Russian news and annotated each text with three categories: positive, negative and neutral. Each text was marked by at least three independent annotators via the web interface and the texts marked...
Recommendation System for Technical paper reviewer assignment is very important for many applications especially in the academic environment and industry. Previous work to build the expert finding system based on a paper title. Here we take a scenario of a conference where they need some experts who can review the paper for that we identify whether the reviewer is expert in that topic or domain to...
In current times, there has been a surge in the amount of collected data from computational systems. The vast amount of data can be useful in many applications and fields, particularly so in Big Data Analytics. However with a large collection of data there is a difficulty discovering important information. Automatic Document Summarization (ADS) systems are suitable for the task of outlining useful...
Human being normally uses natural language in form of written or spoken in their daily life. It is an entirely concept based on Artificial Intelligence, Computer Science and Linguistic resources. In Indian languages, Gujarati is an Indo — Aryan language with rich and high inflection. In these languages, several words have common root that's need to be reduced by using stemmer. Stemmer is used to reduce...
Sentiment is the only things that separate human and machine. To simulate the feelings for machines many researchers have been trying to create method and automated the process to extract opinion of particular news, product or life entity. Sentiment Analysis (SA) is a combination of opinions, emotions and subjectivity of a text. Currently SA is the most demanding task in Natural Language Processing...
In this research paper, a rule based chunker is developed and evaluated. For the development of the chunker, handcrafted linguistic rules for mainly noun, adverb, verb, adjective phrases and conjuncts were generated. Indian Languages Chunk Tagset is used for annotations. In order to evaluate, 500 sentences of Hindi language tagged by HMM tagger were considered and given as an input to our chunker...
According to the Merriam-Webster dictionary, satire is a trenchant wit, irony, or sarcasm used to expose and discredit vice or folly. Though it is an important language aspect used in everyday communication, the study of satire detection in natural text is often ignored. In this paper, we identify key value components and features for automatic satire detection. Our experiments have been carried out...
To increase the learning effectiveness and willingness of students became the most important issue for the Universities in Taiwan. Therefore, we must find the important factors of the learning effectiveness to improve the learn willingness of students. However, it is not easy to measure the learning effectiveness because the subjective judgment of evaluators and the attributes of factors are always...
Technical writing service courses have become a mainstay across institutions of higher education. However, the heterogeneous student population that these courses attract leads to generic instruction that often contradicts how students are expected to communicate within their respective fields. This workshop aims to provide participants with a basic introduction to data-driven learning as well as...
Environmental computing is becoming a recognized specialty focusing on producing actionable knowledge by advanced environmental modelling. At the moment the environmental computing community shares a tacit understanding of what are the initiatives, tools and approaches that belong to the core scope of this emerging discipline. The environmental computing website[1] has been used as an interim community...
Automatic personality recognition aims to assign a personal profile to the author by measuring the Big Five personality factors automatically. The present paper focuses on an approach developed to recognize the personality of the author by evaluating their writings. The score for each of the Big-Five personality traits is computed programmatically. Based on the essays of the author as an input, parse...
Ontology learning is a field of extracting ontological elements to form ontology. Identification of concepts is the main activities within ontology learning. Diverse methods can be used to find concepts. One of the methods is using collocation learning technique. The technique used statistical scores which to test the strength of the connection between terms. In English translated Quran, single term...
The appearance of Fuzzy Ontologies has improved the way that crisp ontologies use to represent information. Thanks to them, it is possible to represent information in an imprecise and linguistic way using linguistic modelling and fuzzy sets. Nevertheless, there are still several restrictions that must be overcome. For instance, ontology queries must be performed using a linguistic label set with an...
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