PUBLIC’S SENTIMENT ANALYSIS ON SHOPEE-FOOD SERVICE USING LEXICON-BASED AND SUPPORT VECTOR MACHINE

Technology field following how era keep evolving. Social media already on everyone’s daily life and being a place for writing their opinion, either review or response for product and service that already being used. Twitter are one of popular social media on Indonesia, according to Statista data it reach 17.55 million users. For online business sector, knowing sentiment score are really important to stepping up their business. The use of machine learning, NLP (Natural Processing Language), and text mining for knowing the real meaning of opinion words given by customer called sentiment analysis. Two methods are using for data testing, the first is Lexicon Based and the second is Support Vector Machine (SVM). Data source that used for sentiment analyst are from keyword ‘ShopeeFood’ and ‘syopifud’. The result of analysis giving accuracy score 87%, precision score 81%, recall score 75%, and f1-score 78%.

Social Semantics: The Organisation and Grounding of Abstract Concepts

concepts, like justice and friendship, are a central feature of our daily lives. Traditionally, abstract concepts are distinguished from other concepts in that they cannot be directly experienced through the senses. As such, they pose a challenge for strongly embodied models of semantic representation that assume a central role for sensorimotor information. There is growing recognition, however, that it is possible for meaning to be ‘grounded’ via cognitive systems, including those involved in processing language and emotion. In this article, we focus on the specific proposal that social significance is a key feature in the representation of some concepts. We begin by reviewing recent evidence in favour of this proposal from the fields of cognitive science and neuroimaging. We then discuss the limited extent to which there is consensus about the definition of ‘socialness’ and propose essential next steps for research in this domain. Taking one such step, we describe preliminary data from an unprecedented large-scale rating study that can help determine how socialness is distinct from other facets of word meaning. We provide a backdrop of contemporary theories regarding semantic representation and social cognition and highlight important predictions for both brain and behaviour.

The Creative Neurons

Creativity generates novel solutions to tasks by processing information. Imagination and mental representations are part of the creative process; we can mull over ideas of our own making, and construct algorithms or scenarios from them. Social scenario-building can be viewed as a human cognitive “super-power” that involves abstraction, meta-representation, time-travel, and directed imaginative thought. We humans have a “theater in our minds” to play out a near-infinite array of social strategies and contingencies. Here we propose an integrative model for why and how humans evolved extraordinary creative abilities. We posit that a key aspect of hominin evolution involved relatively open and fluid social relationships among communities, enabled by a unique extended family structure similar to that of contemporary hunter-gatherer band societies. Intercommunity relationships facilitated the rapid flow of information—“Culture”—that underpinned arms-races in information processing, language, imagination, and creativity that distinguishes humans from other species.

Speech Perception through Face Masks by Children and Adults

Face masks can cause speech processing difficulties. However, it is unclear to what extent these difficulties are caused by the visual obstruction of the speaker’s mouth or by changes of the acoustic signal, and whether the effects can be found regardless of semantic context. In the present study, children and adults performed a cued shadowing task online, repeating the last word of English sentences. Target words were embedded in sentence-final position and manipulated visually, acoustically, and by semantic context (cloze probability). First results from 16 children and 16 adults suggest that processing language through face masks leads to slower responses in both groups, but visual, acoustic, and semantic cues all significantly reduce the mask effect. Although children were less proficient in predictive speech processing overall, they were still able to use semantic cues to compensate for face mask effects in a similar fashion to adults.

Stylistics analysis of the short story “My Old Man” by Ernest Hemingway

This study aims to explore the language style of Ernest Hemingway’s short story “The Old Man”. This research describes the stylistic used in the short story. Ernest Hemingway is one of the famous writers of prose and short story. Many people recognize his special works for short stories because Ernest Hemingway has a characteristic that makes him one of the best short story writers in Europe from a young age. My Old Man is the first work known for the lot use of stylistic styles that distinguish this story from Hemingway’s other works. The researcher limits the stylistic only to explore linguistics such as pragmatics and semantics. In addition, the researcher explains the features of stylistic devices which are on simile, poetry, and calque. This study combines 2 methods of analysis, namely textual and stylistic analysis. The results illustrated how Hemingway used stylistic to describe a child as the narrator, where he told in detail the dark experiences of his father in the world of horse racing in a coherent manner. Hemingway combined his imagination with processing language styles in the story.

Measuring information flux between social media and stock prices with Transfer Entropy

Transfer Entropy was applied to analyze the correlations and flow of information between 200,500 tweets and 23 of the largest capitalized companies during 6 years along the period 2013-2018. The set of tweets were obtained applying a text mining algorithm and classified according to daily date and company mentioned. We proposed the construction of a Sentiment Index applying a Natural Processing Language algorithm and structuring the sentiment polarity for each data set. Bootstrapped Simulations of Transfer Entropy were performed between stock prices and Sentiment Indexes. The results of the Transfer Entropy simulations show a clear information flux between general public opinion and companies’ stock prices. There is a considerable amount of information flowing from general opinion to stock prices, even between different Sentiment Indexes. Our results suggest a deep relationship between general public opinion and stock prices. This is important for trading strategies and the information release policies for each company.

5 MEKANISME PIKIR SEBAGAI TEKNIK PENGEMBANGAN KERANGKA KARANGAN

Short stories are a type of prose that does not have a lot of conflict and there are not many characters in it, but has a complex unanimity. However, writing short stories is not easy, because it requires imaginative power and qualified creativity in expressing ideas and processing language. Imaginative processes and creativity do not just exist, but need to be trained intensively and continuously. There are many strategies for writing short stories, especially for beginner writers. The first is compiling the outline of the essay, the second is using the idea development technique. One of the techniques in compiling the outline of the essay is using the cilukba pattern technique. For the technique of developing an essay framework, you can use the 5 thought mechanism technique. Techniques for 5 thought mechanisms, including developing, shrinking, increasing, decreasing, and sideways. This pattern will be used by PGSD students of PGRI Adi Buana University Surabaya class of 2016 to write short stories. The methods used include lecturers making themes, students are tasked with compiling an essay framework based on cilukba patterns, students are tasked with learning the 5 thought mechanism techniques, and students are tasked with developing an essay framework based on the 5 thought mechanism techniques. Based on this, PGSD students of PGRI Adi Buana University Surabaya class of 2016 can write short stories well and can collect these short stories into a collection book ISBN of short stories.

Mapping Social Impact: A Bibliometric Analysis

Social dimension is a fundamental element in the evaluation of initiatives and policies that are demanded and promoted by public and private organizations as well as society as a whole. Thus, there is a thriving interest in social impact research, especially from the point of view of its measurement and valuation. In this work, we explored the rising attention on the concept of social impact to identify salient agents in the field and categorize the conceptual structure of research. To achieve this, we used evaluative and relational techniques combining traditional bibliometric analysis using VOSviewer and a text mining analysis based on natural processing language (NLP) to search for documents with the term “social impact” in the title. The documents were extracted from the database Web of Science (WoS) for the period of 1938–2020. As a result, we mapped the concept of social impact from up to 1677 documents, providing an overview of the topics in which the concept was used (e.g., health, finance, environment and development, etc.) and the trends of research. This work seeks to serve as a roadmap that reflects not only the evolution of social impact but also future lines of research that require attention.