The Original Sentiment
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| Author | : Joseph O'rale |
| Publisher | : Trafford Publishing |
| Total Pages | : 177 |
| Release | : 2012-10 |
| Genre | : Literary Collections |
| ISBN | : 1426956452 |
This book is a collection of deep and sincere thoughts of the author. It is highly recommended for public and private libraries as it provides deep thoughts about humanity, love, passion and life generally. After each poem are few paragraphs of notes explaining key points in the stanzas. This however makes room for adequate understanding of the message the author intends to pass across.
| Author | : Charles Rosen |
| Publisher | : Yale University Press |
| Total Pages | : 155 |
| Release | : 2010-06-29 |
| Genre | : Music |
| ISBN | : 0300168373 |
How does a work of music stir the senses, creating feelings of joy, sadness, elation, or nostalgia? Though sentiment and emotion play a vital role in the composition, performance, and appreciation of music, rarely have these elements been fully observed. In this succinct and penetrating book, Charles Rosen draws upon more than a half century as a performer and critic to reveal how composers from Bach to Berg have used sound to represent and communicate emotion in mystifyingly beautiful ways.Through a range of musical examples, Rosen details the array of stylistic devices and techniques used to represent or convey sentiment. This is not, however, a listener’s guide to any “correct” response to a particular piece. Instead, Rosen provides the tools and terms with which to appreciate this central aspect of musical aesthetics, and indeed explores the phenomenon of contradictory sentiments embodied in a single motif or melody. Taking examples from Chopin, Schumann, Wagner, and Liszt, he traces the use of radically changing intensities in the Romantic works of the nineteenth century and devotes an entire chapter to the key of C minor. He identifies a “unity of sentiment” in Baroque music and goes on to contrast it with the “obsessive sentiments” of later composers including Puccini, Strauss, and Stravinsky. A profound and moving work, Music and Sentiment is an invitation to a greater appreciation of the crafts of composition and performance.
| Author | : Adam Smith (économiste) |
| Publisher | : |
| Total Pages | : 636 |
| Release | : 1812 |
| Genre | : |
| ISBN | : |
| Author | : Dylan Evans |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 228 |
| Release | : 2002 |
| Genre | : Emotions |
| ISBN | : 9780192853769 |
From Darwin to "Star Trek", Evans offers a lively look at the science of emotions and finds that whether we live in the shadow of Times Square or in the depths of the rain forest, all humans feel disgust, joy, surprise, anger, fear, and distress. 20 halftones.
| Author | : Richard L. Peterson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 317 |
| Release | : 2016-03-04 |
| Genre | : Business & Economics |
| ISBN | : 1119163757 |
In his debut book on trading psychology, Inside the Investor’s Brain, Richard Peterson demonstrated how managing emotions helps top investors outperform. Now, in Trading on Sentiment, he takes you inside the science of crowd psychology and demonstrates that not only do price patterns exist, but the most predictable ones are rooted in our shared human nature. Peterson’s team developed text analysis engines to mine data - topics, beliefs, and emotions - from social media. Based on that data, they put together a market-neutral social media-based hedge fund that beat the S&P 500 by more than twenty-four percent—through the 2008 financial crisis. In this groundbreaking guide, he shows you how they did it and why it worked. Applying algorithms to social media data opened up an unprecedented world of insight into the elusive patterns of investor sentiment driving repeating market moves. Inside, you gain a privileged look at the media content that moves investors, along with time-tested techniques to make the smart moves—even when it doesn’t feel right. This book digs underneath technicals and fundamentals to explain the primary mover of market prices - the global information flow and how investors react to it. It provides the expert guidance you need to develop a competitive edge, manage risk, and overcome our sometimes-flawed human nature. Learn how traders are using sentiment analysis and statistical tools to extract value from media data in order to: Foresee important price moves using an understanding of how investors process news. Make more profitable investment decisions by identifying when prices are trending, when trends are turning, and when sharp market moves are likely to reverse. Use media sentiment to improve value and momentum investing returns. Avoid the pitfalls of unique price patterns found in commodities, currencies, and during speculative bubbles Trading on Sentiment deepens your understanding of markets and supplies you with the tools and techniques to beat global markets— whether they’re going up, down, or sideways.
| Author | : Bing Liu |
| Publisher | : Springer Nature |
| Total Pages | : 167 |
| Release | : 2022-05-31 |
| Genre | : Computers |
| ISBN | : 3031021452 |
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
| Author | : Bo Pang |
| Publisher | : Now Publishers Inc |
| Total Pages | : 149 |
| Release | : 2008 |
| Genre | : Data mining |
| ISBN | : 1601981503 |
This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.
| Author | : Bing Liu |
| Publisher | : Cambridge University Press |
| Total Pages | : 451 |
| Release | : 2020-10-15 |
| Genre | : Computers |
| ISBN | : 1108787282 |
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
| Author | : Rodney Needham |
| Publisher | : University of Chicago Press |
| Total Pages | : 147 |
| Release | : 1962 |
| Genre | : Social Science |
| ISBN | : 0226569896 |
"Structure and Sentiment is an important book. Reading it may make an anthropologist more keenly aware of certain issues that are crucial in social anthropology, and this awareness may make one's field work as well as one's reading of published ethnographies more perceptive."—F. G. Lounsbury, American Anthropologist "A theoretical and methodological essay of first importance. As such, the book should be of interest to all social scientists interested in the development of specific and general theory in social anthropology."—Southwestern Social Science Quarterly
| Author | : Julia Silge |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 193 |
| Release | : 2017-06-12 |
| Genre | : Computers |
| ISBN | : 1491981628 |
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
