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Opinion Inn is a platform where people who are interested in sharing their opinions with companies across the globe about their products and services, get paid to do so. Once they sign up with us, they start receiving surveys, upon completing which, they are paid from $1 to $100 depending on the survey requirement.



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Q: What is the OpinionInn Panel Portal?
A: OpinionInn is an online community dedicated to help its consumers to voice out their opinions to the world’s most renowned companies. We seek to help our customers in providing their valuable feedback and they can even earn cash rewards by participating in Online Surveys. We also provide a platform to our customers wherein they can express their thoughts by participating in Online Polls which are created to cater various fields.

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Q: Is registration free?
A: Registration to OpinionInn is completely free - you will not be asked for any payment. On the contrary, it is you who earns money that will be transferred to your PayPal account (once you reach a minimum amount of $25.00) by taking part in our surveys.

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Q: Why should I become a OpinionInn member?
A: Becoming a member of OpinionInn comes with an array of benefits. Once you become a member, you can take surveys not only offered by OpinionInn but also conducted by our numerous clients. As soon as you register, you can begin accumulating money in your OpinionInn account. Once you reach our minimum threshold of US $25.00, you can transfer it to your PayPal account. Also, when you sign in, US$10.00 will be credited in your account to help you reach your minimum threshold of US$25.00 faster.

Q: What is OpinionInn's business?
A: OpinionInn is an online portal that invites thousands of people to take surveys on fields of your interest such as which restaurant you visit most often or which is your favorite brand of coffee. The purpose of these surveys is to collect your opinions and thoughts about the products and services offered by various renowned companies. Your opinions once shared, will have a direct impact on these companies on how or what you (the consumers) want.

Q: Why does OpinionInn ask for personal information such as name and Date of birth?
A: We ask for personal information such as your name, address, gender, birthday etc. so we can send you suitable online surveys which will increase your chances to qualify in those surveys. Other information you are asked to provide in your profile section after you have created your account with us, is to further increase your chances to participate in many other surveys. All the information provided by you remains confidential.

Participating in surveys
Q: What if I have difficulties with a survey, and why does this happen?
A: The reason it happens is that we do various surveys simultaneously and have a mix of surveys programmed by many of our clients. So, the difficulty can arise by either compatibility of system you are using to take the survey and the software on which the survey is programmed. Since there are many people who take these surveys simultaneously using a wide variety of operating systems, browsers, Internet connection types, and hardware. Since, not all are necessarily compatible with the technology of all surveys that may be available, that can lead to difficulties in taking surveys. Sometimes, there is no technical glitch and it can be caused by a simple human error. If you face any issue, please wait for some time till the error is sorted out, however if you still face the problem, please reach to us quoting the Project number of the survey and we will try out best to sort that out.

Public opinion (1922)
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Behold! human beings living in a sort of underground den, which has a mouth open towards the light and reaching all across the den; they have been here from their childhood, and have their legs and necks chained so that they cannot move, and can only see before

Identifying expressions of opinion in context.
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While traditional information extraction systems have been built to answer questions about facts, subjective information extraction systems will answer questions about feelings and opinions. A crucial step towards this goal is identifying the words and phrases that express

Discourse level opinion interpretation
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This work proposes opinion frames as a representation of discourse-level associations which arise from related opinion topics. We illustrate how opinion frames help gather more information and also assist disambiguation. Finally we present the results of our experiments

Public opinion in the European Union
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This report presents the first results of the Standard Eurobarometer 83 survey (EB83), which was carried out between 16 and 27 in 34 countries or territories1: the 28 European Union (EU) Member States, five candidate countries2 (the Former Yugoslav

Extracting and ranking product features in opinion documents
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Page 1. Coling 2010: Poster Volume, pages 1462 1470, Beijing, August Extracting and Ranking Product Features in Opinion Documents Lei Zhang Department of Computer Science University of Illinois at Chicago lzhang3@cs.uic.edu Suk Hwan Lim Hewlett-Packard Labs

Automatic extraction of opinion propositions and their holders
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We identify a new task in the ongoing analysis of opinions: finding propositional opinions, sentential complements which for many verbs contain the actual opinion rather than full opinion sentences. We propose an extension of semantic parsing techniques, coupled with

Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
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Opinion question answering is a challenging task for natural language processing. In this paper, we discuss a necessary component for an opinion question answering system: separating opinions from fact, at both the document and sentence level. We present a

Mining opinion features in customer reviews
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It is a common practice that merchants selling products on the Web ask their customers to review the products and associated services. As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. For a

Automatic detection of opinion bearing words and sentences
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We describe a sentence-level opinion detection system. We first define what an opinion means in our research and introduce an effective method for obtaining opinionbearing and nonopinion-bearing words. Then we describe recognizing opinionbearing sentences using If the American citizen is capable of constructing reliable political judgments without engaging in extensive cognitive deliberation, then criticism that public opinion is largely vacuous in character overstate the implications of a politically inattentive citizenry

Feature subsumption for opinion analysis
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Lexical features are key to many approaches to sentiment analysis and opinion detection. A variety of representations have been used, including single words, multi-word Ngrams, phrases, and lexicosyntactic patterns. In this paper, we use a subsumption hierarchy to

Just how mad are you Finding strong and weak opinion clauses
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There has been a recent swell of interest in the automatic identification and extraction of opinions and emotions in text. In this paper, we present the first experimental results classifying the strength of opinions and other types of subjectivity and classifying the

Israeli Public Opinion on National Security 1999
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As the 1999 election campaign began, support for the Oslo Accords was high, supported by 70 percent. There was evidence that negotiation and conciliation were the policies preferred by the public. Only 30 percent thought the condition of the country good or very good, and a

The day after tomorrow: Public opinion on climate change
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This report presents the findings of recent research conducted by MORI Social Research Institute assessing public opinion on, and attitudes towards, climate change and global warming. In recent months, there has been an upsurge of interest in global warming, as

Assessing the representativeness of public opinion surveys
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It has become increasingly difficult to contact potential respondents and to persuade them to participate. The percentage of households in a sample that are successfully interviewed the response rate has fallen dramatically. At Pew Research, the response rate of a typical

Identifying opinion holders for question answering in opinion texts
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Question answering in opinion texts has so far mostly concentrated on the identification of opinions and on analyzing the sentiment expressed in opinions. In this paper, we address another important part of Question Answering (QA) in opinion texts: finding opinion holders

Joint extraction of entities and relations for opinion recognition
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We present an approach for the joint extraction of entities and relations in the context of opinion recognition and analysis. We identify two types of opinionrelated entities expressions of opinions and sources of opinions along with the linking relation that exists

Mining opinion words and opinion targets in a two-stage framework
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This paper proposes a novel two-stage method for mining opinion words and opinion targets. In the first stage, we propose a Sentiment Graph Walking algorithm, which naturally incorporates syntactic patterns in a Sentiment Graph to extract opinion word/target

Opinion dynamics and bounded confidence models, analysis, and simulation
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When does opinion formation within an interacting group lead to consensus, polarization or fragmentation The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops

No, youre not entitled to your opinion
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Secondly, I say something like this: Im sure youve heard the expression everyone is entitled to their opinion .Perhaps youve even said it yourself, maybe to head off an argument or bring one to a close. Well, as soon as you walk into this room, its no longer true. You are

Mining feature- opinion in online customer reviews for opinion summarization.
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Online customer reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. In web pages, the reviews are written in natural language and are unstructured-free-texts scheme. The task of manually

Towards a robust metric of opinion
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This paper describes an automated system for detecting polar expressions about a topic of interest. The two elementary components of this approach are a shallow NLP polar language extraction system and a machine learning based topic classifier. TheseThe power of the news media to set a nations agenda, to focus public attention on a few key public issues, is an immense and well-documented influence. Not only do people acquire factual information about public affairs from the news media, readers and viewers also learn

Modelling expert opinion
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SUMMARY 1 consider problems of Bayesian information processing in which data consist of forecasts from individuals, experts or models. The basic concepts have been developed and extensively used by Lindley in his works on reconciliation of probabiiities. Here a new

Public opinion on environmental policy in the United States
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Jon Krosnick is University Fellow at Resources for the Future. This research was supported by a grant from Resources for the Future. The authors thank Shanto Iyengar and Riley Dunlap for very helpful comments, and Ray Kopp for his help and collaboration. David Daniels was supportedOpinion dynamics have attracted the interest of researchers from different fields. Local interactions among individuals create interesting dynamics for the system as a whole. Such dynamics are important from a variety of perspectives. Group decision making, successful

Gender, public opinion and political reasoning
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Men and women differ in their political attitudes and behavior, but these differences are modest and inconsistent (Sapiro zoo3). The much-discussed gender gap in voting choice and partisan preference in which women identify more strongly with the Democratic Party

Sentiwordnet: A publicly available lexical resource for opinion mining
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Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. OM has a rich set of applications, ranging from tracking users

Joint inference for fine-grained opinion extraction
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This paper addresses the task of finegrained opinion extraction the identification of opinion related entities: the opinion expressions, the opinion holders, and the targets of the opinions, and the relations between opinion expressions and their targets and holders. Most existingIn this article, we argue that progress in the study of collective action rests on an increasingly sophisticated application of the social identity approach. We develop the view, however, that the application of this theoretical perspective has been limited by theoretical and empirical

Investigating lstms for joint extraction of opinion entities and relations
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We investigate the use of deep bidirectional LSTMs for joint extraction of opinion entities and the IS-FROM and ISABOUT relations that connect them the first such attempt using a deep learning approach. Perhaps surprisingly, we find that standard LSTMs are not competitive

Memorandum opinion
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Background On 199 an officer in the Sheriffs office, not a defendant here, arrested Skurstenis for driving under the influence of alcohol. A. 38 special handgun with an expired permit was found on the floorboard of Skurstenis car. After an intoxilyzer reflected a bloodThe deployment of Web 2.0 technologies has led to rapid growth of various opinions and reviews on the web, such as reviews on products and opinions about people. Such content can be very useful to help people find interesting entities like products, businesses and

Sentiment analysis and opinion mining: a survey
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Due to the sheer volume of opinion rich web resources such as discussion forum, review sites, blogs and news corpora available in digital form, much of the current research is focusing on the area of sentiment analysis. People are intended to develop a system that

Opinion extraction, summarization and tracking in news and blog corpora.
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Humans like to express their opinions and are eager to know others opinions. Automatically mining and organizing opinions from heterogeneous information sources are very useful for individuals, organizations and even governments. Opinion extraction, opinion

The demographics of inflation opinion surveys
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In this Commentary, we document that people report very different perceptions and predictions of inflation depending upon their income, education, age, race, and gender a strange finding that provide an important clue to understanding how to interpret survey

Treatment of pediatric epilepsy: European expert opinion 2007
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Background. Childhood epilepsies are a heterogeneous group of conditions that differ in diagnostic criteria and management and have dramatically different outcomes. Despite increasing data on treatment of epilepsy, research findings on childhood epilepsy are more

The media, poverty and public opinion in the UK
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Chapter 3 presented an overview of the coverage of poverty in the UK news media. This chapter complements this overview by presenting detailed case study analysis of how the same poverty story is presented across different news media. This involves asking the

International public opinion perception, and understanding of global climate change
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The release of carbon dioxide to the atmosphere by the burning of fossil fuels is, conceivably, the most important environmental issue in the world today. (Nature, 1979) Natural scientists have described global warming1 as perhaps the preeminent

Opinion target extraction using word-based translation model
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This paper proposes a novel approach to extract opinion targets based on wordbased translation model (WTM). At first, we apply WTM in a monolingual scenario to mine the associations between opinion targets and opinion words. Then, a graphbased algorithm is

Extracting aspect-evaluation and aspect-of relations in opinion mining
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The technology of opinion extraction allows users to retrieve and analyze peoples opinions scattered over Web documents. We define an opinion unit as a quadruple consisting of the opinion holder, the subject being evaluated, the part or the attribute in which the subject is

Low-quality product review detection in opinion summarization
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Product reviews posted at online shopping sites vary greatly in quality. This paper addresses the problem of detecting lowquality product reviews. Three types of biases in the existing evaluation standard of product reviews are discovered. To assess the quality of

Challenges in developing opinion mining tools for social media
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While much work has recently focused on the analysis of social media in order to get a feel for what people think about current topics of interest, there are, however, still many challenges to be faced. Text mining systems originally designed for more regular kinds of

Twitter as a corpus for sentiment analysis and opinion mining.
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Microblogging today has become a very popular communication tool among Internet users. Millions of users share opinions on different aspects of life everyday. Therefore microblogging web-sites are rich sources of data for opinion mining and sentiment analysis

Scientific opinion
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Saxitoxin (STX)-group toxins are a group of closely related tetrahydropurines and have been detected in filter-feeding bivalve molluscs such as oysters, mussels, scallops, and clams from various parts of the world. They are mainly produced by dinoflagellates belonging toWe provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (eg, Bayesian vs. non-Bayesian), the sources of

Support or oppose Classifying positions in online debates from reply activities and opinion expressions
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We propose a method for the task of identifying the general positions of users in online debates, ie, support or oppose the main topic of an online debate, by exploiting local information in their remarks within the debate. An online debate is a forum where each user

Opinion mining with deep recurrent neural networks
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Recurrent neural networks (RNNs) are connectionist models of sequential data that are naturally applicable to the analysis of natural language. Recently, depth in space as an orthogonal notion to depth in time in RNNs has been investigated by stacking multiple

Extracting opinion targets in a single and cross-domain setting with conditional random fields
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In this paper, we focus on the opinion target extraction as part of the opinion mining task. We model the problem as an information extraction task, which we address based on Conditional Random Fields (CRF). As a baseline we employ the supervised algorithm by

Report of the inquiry into the British general election opinion polls
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The result of the General Election came as a shock to most observers. During the months and weeks leading up to the 7th May, the opinion polls had consistently indicated that the outcome was too close to call and the prospect of a hung parliament appeared

Extracting opinions, opinion holders, and topics expressed in online news media text
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This paper presents a method for identifying an opinion with its holder and topic, given a sentence from online news media texts. We introduce an approach of exploiting the semantic structure of a sentence, anchored to an opinion bearing verb or adjective. This

Negative deceptive opinion spam
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The rising influence of user-generated online reviews (Cone) has led to growing incentive for businesses to solicit and manufacture DECEPTIVE OPINION SPAM fictitious reviews that have been deliberately written to sound authentic and deceive the reader

Memorandum Opinion
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* 1 On March 2 201 plaintiffs Intellectual Ventures I, LLC and Intellectual Ventures II, LLC (collectively IV ) filed suit in this district against defendants Canon Inc., Canon USA, Inc., and Canon Solutions America, Inc.(collectively Canon ), alleging infringement of nine

Generalizing dependency features for opinion mining
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We explore how features based on syntactic dependency relations can be utilized to improve performance on opinion mining. Using a transformation of dependency relation triples, we convert them into composite back-off features that generalize better than the Political parties play a vital role in democracies by linking citizens to their representatives. Nonetheless, a longstanding concern is that partisan identification slants decision-making. Citizens support (oppose) policies that they would otherwise oppose (support) in the

Opinion extraction and summarization on the web
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The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sources containing such opinions, eg, product reviews, forums, discussion groups, and blogs. Techniques are now being developed to exploit these sources to help

Distilling opinion in discourse: A preliminary study
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Page 1. Coling 2008: Companion volume Posters and Demonstrations, pages 7 10 Manchester, August Distilling Opinion in Discourse: A Preliminary Study Nicholas Asher and Farah Benamara IRIT-CNRS Toulouse, France {asher, benamara}@irit.fr Yvette Yannick

Coming to grips with VO Keys concept of latent opinion
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A version of this paper will appear in Coming to Grips with VO Keys Concept of Latent Opinion in press, Electoral Democracy, (eds.) Michael MacKuen and George Rabinowitz., University of Michigan Press * Prepared for delivery at Symposium in Honor of Philip ConverseFunding for this research came from the Richard J. Barber Fund for Interdisciplinary Legal Research at Wayne State University, the Urban Studies Research Fund at the University of Glasgow, and the Belgian Federal Public Planning Service (Science Policy grantWe describe a set of tools, resources, and experiments for opinion classification in business- related datasources in two languages. In particular we concentrate on SentiWordNet text interpretation to produce word, sentence, and text-based sentiment features for opinion