This research presented the use of bilingual dictionary and addressed the EFL translation students' points of view on the use of bilingual dictionary in translating polysemous words (English to Persian). Moreo- ver, it aimed at finding the possible relationship between the effect of using bilingual dictionary by stu- dents in translating polysemous words and their achieved scores. In the study ...

Brand community interactions and online customer support have become major platforms of brand sentiment strengthening and loyalty creation. Rapid brand responses to each customer request though inbound tweets in twitter and taking proper actions to cover the needs of customers are the key elements of positive brand sentiment creation and product or service initiative management in the realm of ...

This article address approaches to the development of methods for assessing psychological state social network members during coronavirus pandemic through sentiment analysis messages. The purpose work is determine tension index by using a previously developed thematically ranked dictionary. Researchers have investigated evaluate among users and forecast distress. approach novel in sense that it...

Sentiment analysis is one domain that analyzes the feelings and emotions of users based on their text messages. short messages, reviews in online social media (OSM), networking sites (SNS) messages gives given data. Processing SNS a very tedious task because restricted detailed information generally contained. Solving this issue requires advanced techniques are combined to give accurate results...

This paper introduces Port4NooJ v3.0, the latest version of the Portuguese module for NooJ, highlights its main features, and details its three main new components: (i) a lexicon-grammar based dictionary of 5,177 human intransitive adjectives, and a set of local grammars that use the distributional properties of those adjectives for paraphrasing (ii) a polarity dictionary with 9,031 entries for...

News items have significant impact on stock markets but the ways is obscure. Many previous works have aimed at finding accurate stock market forecasting models. In this paper, we use text mining and sentiment analysis on Chinese online financial news, to predict Chinese stock tendency and stock prices based on support vector machine (SVM). Firstly, we collect 2,302,692 news items, which date fr...

BACKGROUND Social networking services (SNSs) contain abundant information about the feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by analyzing SNS postings. An ontology that expresses the shared concepts and their relationships in a specific field could be used as a semantic framework for social media data analytics. OBJECTIVE The aim of this stud...

First a naive implementation with a feature selection containing few features, results in poor accuracy because (i) the stop words and non-words haven’t been filtered and turn out as the features with high probability, and (ii) with few features the dictionary might be biased towards one class. Table 1 shows the positive and negative dictionary formed by selecting the top ten features from each...