2. Related Work
Many of works have been done in the area of public opinion extraction, some works went to find the polarity and others find both polarity and subjectivity. The work has been done for many languages and to serve many of purposes like politics, social services, movie reviews…etc., but unfortunately there is no work has been done for Arabic language. In the following we browsing some of these works:
OSVision Opinion Mining [6] is an automatic system which can extract opinions from the Web. The system uses advanced natural language processing algorithms for extracting opinion, the system is supported by machine learning approaches and knowledge representations which enabled to apply it.
The author mentioned his system, what the objective from this system. But he didn't declare what are the techniques used and how these techniques worked to perform this work, there are no details, and the work method was ambiguous to me, so it is difficult to benefit from this paper.
OPTIMISM [5] an opinion mining system for classification of opinions about related Portuguese political actors. The work passed through several phases as following:
Subscribing the newsfeeds associated to the relevant political actors for collecting the concerned data.
Developing an ontology of political entities which contains the names of the political actors , their variants ( acronyms), and their roles in the political scope.
Create high precision lexico-syntactic rules.
Developing a reference corpus, starting by collecting opinion-rich data from the web site of one of the most popularity Portuguese newspapers.
Manually the training set expressing positive and negative opinions was chosen, and the residual sentences of the commen...
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...May 22-24, 2009, pp. 270-272.
[4] J.Froelich, S. Ananyan, D. Olson, The Use of Text Mining to Analyze Public Input, Megaputer Intelligence, 2004.
[5] M. Silva, P. Carvalho, L Sarmento, et al. "The Design of OPTIMISM, an Opinion Mining System for Portuguese Politics", New Trends in Artificial Intelligence: Proceedings of EPIA 2009 - Fourteenth Portuguese Conference on Artificial Intelligence, Universidade de Aveiro, October, 2009, pp. 565-576.
[6] OPINION MINING: Automated Opinion Polls and Product Review Surveys, OSVision.
[7] Y. Almas, K. Ahmad, “A note on extracting ‘sentiments’ in financial news in English, Arabic & Urdu”, The Second Workshop on Computational Approaches to Arabic Script-based Languages” LSA 2007 Linguistic Institute Stanford University, July 21, 2007.
[8] Y. Kuat, M. Saˇsa, " Sentiment Analysis of Movie Review Comments ", 2009.
New York: Random House, 2001. Web. The Web. The Web. http://site.ebrary.com/lib/priority/docDetail.action?docID=10235241>. Buchanan, Albert Russell.
Jean Carletta, “Assessing agreement on classification tasks: The kappa statistic”. Computational Linguistics, MIT Press Cambridge, MA, USA, Vol. 22, No.2, pp. 249–254, 1996.
...n lead to a party not to move towards the centre like imperfect knowledge. A conclusion can be drawn that, as in the case of many other general explanations about politics the Down’s model can only explain how parties align themselves in general elections to certain extent. Decisions made by political parties are indirectly made by humans and the way in which human behave and take action will never be explained by just one factor or model specially one that assumes that the human complexity can be simplified by economic .One possible field of further research would be to investigate, the different ways in which the use of new technologies and social media can give the political parties a clearer and more importantly a constant and interactive view of what the electorate think, based on the policies they discuss the most in social platforms like Twitter or Facebook.
Healthcare: Sentiment analysis has wide-scale applications in the Healthcare industry. Many patients use internet to post their patient experience in provider facilities. This unbiased feedback from patients is critical for healthcare practices to improve the quality of care. It is not possible for the patient to keep going back to the facility to report post intervention feedback. Extracting patient sentiments from unstructured data in blogs, twitter, Facebook posts help hospitals realize important performance factors like patient satisfaction, staff friendliness, procedure efficiency. Patients also share information regarding their payer experience on the internet. Tweets, posts about insurance benefits, timely service are critical information to the payers to improve their existing services. 94% patients believe hospital’s brand name is important in making a selection. By understanding patient sentiments and taking appropriate action to translate negative feedback into improved care can help a hospital improve its brand image.
Christian Brand Professor bird 21 June 2024 ENG101 The Power of the Vote: Analyzing Russell Glass’s Rhetorical Strategies By skilfully intertwining three distinct modes of persuasion (the modes of logos, pathos, and ethos) within the framework of his essay ‘Opinion: Want a revolution? It’s easy—go vote’ (2012), Russell Glass asserts a rational explanation as to why one might find voting in American democracy compelling and meaningful. We will unpack and explain how Russell Glass utilizes rhetorical devices and strategies that make his essay more eloquent, rhetorically correct, and persuasive. Logical Arguments (Logos) Glass begins his entry with a parade of argumentative paragraphs that could justify voting.
...has so much power. The findings of this research could be used by campaigners in an attempt to swing an election in their favour, creating an unfair bias in parliament and denigrating the ideals of democracy.
The Political Parties Model in which politicians diverge ideologically to provide a cue of party affiliation, allowing voters to vote rationally using their habit of party identification. The Political Parties Model suggests that party labels clarify the political choices available to voters.
There are many studies that examine the direct relationship between news, information and activity online and the subsequent market characteristic. However, I have selected a sample of papers to look at, some of which look at the financial theory behind the stock market, and then several which look at the sentiments which can be extracted from Twitter and online sources and then tested to see if there are any significant relationships present, which could be then use...
There is a debate between the benefits and potential informational privacy issues in web-data mining. There are large amount of valuable data on the web, and those data can be retrieved easily by using search engine. When web-data mining techniques are applied on these data, we can get a large number of benefits. Web-data mining techniques are appealing to business companies for several reasons [1]. For example, if a company wants to expand its bu...
There are three reasons for selecting Hasawi for this study. First, there is little previous work related to Hasawi even though it is considered an enormous dialect because it is expanded to other Gulf countries, such as Bahrain, Iran, Iraq, Kuwait, Qatar, and United Arab Emirates. Thus, HD is also spoken as a minor dialect in the previous mentioned countries so that Hasawi is sometimes called Gulf Arabic 'Khaliji'. Secondly, the emergence of a new dialect a few years ago which is Modern Hasawi, a blend of old Hasawi and Najdi, threatens the existence of the original Hasawi in Saudi Arabia in spite of the massive expansion of the dialect to the neighboring countries. Finally, the dialect of Al-Ahsa is seen as a humorous matter among other Saudi dialects because it is hard to understand (Bassiouney, 2010). Probably the cause of such difficulty refers to the sociolinguistic impact of non-Arabian languages, such as Farsi 'Persian' and Turkish. However, it would be proven at the end of this paper that this unattractive dialect has unique acoustic features.
Optimistic attitude is a great way to feel better, even during bad times. The interesting question is, whether it can help the optimistic person to live the happy time longer, than his / her pessimistic colleague. The scientists (Maruta, Colligan, Malinchoc, and Offord (2000)) studied this question. They made an experiment: using the data gathered in the mid-1960, they divided the patients in three main groups. The first group was the optimistic, second – mixed, and the last pessimistic. The results were quite unambiguous: for every ten points increase in person’s score on their optimism scale, the risk of early death decreased by nineteen percents. It is a very good result, because, as we can see, the level of optimism is making the life of the peop...
Mainstream media such as television, radio, newspapers were the primary source of reliable information before the epoch of the internet. However, the situation has changed. The evolution of modern technology in the world today has led to the continuous increase in the methods of practicing journalism. Social and technological advancements have not only improved the pace and content of this field’s practice, but has extended its genre to online or cybernetic journalism. (Project for Excellence in Journalism, 2007). News websites most of which are owned by major media companies and alternative websites with user generated content such as social networking sites and blogs are gaining grounds in the journalism field of practice. (Nel, n.d). One of the chief forces affecting the practice of journalism nowadays is online citizen journalists. Nel (n.d) defines citizen journalism as “individuals playing an active role in the process of collecting, reporting, analysing and disseminating news and information”. He further adds that “citizen journalism is slowly being looked upon as a form of rightful democratic ways of giving hones news, articles, etc, directly by citizens of the world from anywhere.” One of the major researches conducted in the field of citizen journalism, describes the phenomenon as “individuals who intend to publish information online, meant to benefit a community”, and this information is expected to benefit the audience or the wider population in making decisions for the improvement of their community. (Carpenter, 2010.)
Another thing that I learned through this experience is how difficult it can be to code the tone of paragraphs as positive, negative, or neutral. This is a completely subjective task, and it is easy to see how there could be some disagreement in assigning scores between different coders. What one person sees as being a negative paragraph in tone, another person may read the same thing and see it as being neutral. I spent quite a bit of time contemplating how to code each paragraph. Since the accuracy of the results depend on coding the paragraphs with consistency between coders, I used my best judgement and tried to think about how others would code each paragraph as well.
... applied on different Domain data sets and sub level data sets. The data sets are applied on Maximum entropy, Support Vector Machine Method, Multinomial naïve bayes algorithms, I got 60-70% of accuracy. The above is also applied for the Unigrams of Maximum entropy, Support Vector Machine Method, Multinomial naïve bayes algorithms achieved an accuracy of 65-75%. Applied the same data on proposed lexicon Based Semantic Orientation Analysis Algorithm, we received better accuracy of 85%. In subjective Feature Relation Networks Chi-square model using n-grams, POS tagging by applying linguistic rules performed with highest accuracy of 80% to 93% significantly better than traditional naïve bayes with unigram model. The after applying proposed model on different sets the results are validated with test data and proved our methods are more accurate than the other methods.
Jurafsky, D. & Martin, J. H. (2009), Speech and Language Processing: International Version: an Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 2nd ed, Pearson Education Inc, Upper Saddle River, New Jersey.