Survey On Sentiment Analysis And Opinion Mining

In “Mounting Off in America”, the journalist, Stephen Randall, says “we live in an era in which it is important to have opinions. It doesn’t even matter if they are good or original ones; almost any opinion will do as long as it’s forcefully expressed. I strongly agree with the author’s statement, most of us like to share how a certain topic makes us feel, we often criticize, and open out everything we do not like or what we think can be done better and this makes us have too many opinions and personally, I like to be heard even if my opinions are not the greatest! I think I am worth other people’s time and I am interested to see if other people feel the same way. That’s why in my opinion, social media is a great source to express our emotions,

Women all over this world have been mistreated in every way possible. The Declaration of Sentiments and Declaration of rights promotes equality for women in every way possible. The founding mothers modeled their statements after the Declaration of Independence to show the importance of this document, however this deliberate illusion suggest how America mirrors Great Britain in the face of women. America has been bias against women and girls. America is dominated by males. The Government has laws that conflicts with the true happiness of women for example birth control pillls. the legal standing and treatment for women was classified as un-Americanized due to the fact that women had no legal rights to own property, had no right to vote, earn

Question 1: Men have always been the ones deemed with upmost power over everything in life including law and land. Power is having the ability to influence or control the behavior of people. The relations of man and woman around the time of “The Discord” article were man had complete control especially in marriage. “He has compelled her to submit to laws…withheld from her rights…made her civilly dead…an irresponsible being”. These withdrawals from the text show the relationship between man and wife and how man also has control even over single women. Men controlled the laws these women lived by and kept them from advancing as men were allowed to advance such as in institutions and law making. The Declaration of Sentiments reveled the nature of gender relationships in nineteenth

This excerpt suggests that it is a good thing, in fact it's the preferred thing, to go about forming opinions without any outside input. It claims that the only way to

Today, many people express their opinions of controversial topics. From art to music to politics, people always have something to say. Having the ability to state your opinion is worthwhile because it fosters democratic values.

The study mainly probes into the question how a piece of information conveys and flows in social media-based public forums, whether the opinion-leaders are elected during the process and what kind of personality traits the opinion-leaders possess in the media-based forums. The author makes literature review about the key items such as discussion networks, flow of information, opinion leadership and proposes one research question and three hypotheses such as the flow of information within online forums following the two-step flow model. In terms of methodology, the author makes use of case selection, network analysis and logistic regression analysis to collect and analyze data.

While demanding feedback on streaming services is ubiquitous, natural language processing is still the fundamental approach of abstracting useful data social media mining, as a result of the open-ended meaning of feedbacks gained through social media. Even though natural language processing is a field that has been researched since engineers tried to break the Turing Test, it is still impossible to collect accurate data without knowing the positive or negative position the user is in, since the same words and sentences could have different semantic meanings in different situations, such as sarcasm, which is encoded into tone, not word choice, morphology, syntax, or anything that could be resolved in a text message. The current Natural Language Processing approaches to detecting sarcastic sentences either involve ignoring the problem entirely and hoping it doesn 't affect the overall task, or making informed guesses from data mining.

1. People post their personal opinions and others might agree. You can reach out to a larger demographic by the use of the internet.

Reviews offer a limited number of opinions, and they generally focus on one particular topic. There is also some bias in the reviews. People who have very strong feelings about something in a company tend to share their opinion in a form of review. Mostly, those reviews display customers’ overwhelming dissatisfaction with something or customers’ excitement about purchased products. Customers’ feeling should be strong enough to give them enough incentive to take their time and write a review. However, this is not the only way to identify customers’ awareness and opinion on companies’ reputation, price, quality, brands, product range, and customer. The social networks can provide us with a variety of opinions that fall in various categories of a conversation. We can compare

Typically consumers do not like losses and they do not like to make any decision on matters related to purchasing under any uncertainties. As the uncertainties reduce, consumers feel more confident in making decision on purchasing and investing (Schubert & Ginsburg, 2000). In order to avoid uncertainties they look for information on products and services online like consumer rating and reviews (Chevalier & Mayzlin, 2006). Information available on social media and blogs are generated by users and have persuasive tendencies. We will review various papers that look at informative and persuasive effect of user generated content on the customers.

Syed akib anwar et al. [1] proposed that Public sentiments are the main things to be noticed for collecting the feedback of the product. It can be done by using sentiment analysis. The twitter is the social media used in this paper for collecting the reviews about any product. The reviews collected are analyzed based on the locations, features and gender. There are four steps involved in the paper: Data extraction which involves collecting the twitter data, data processing involves filtering out the redundant tweets and non grammatical relations, implementation involving the product analysis using sentiment score and result involves comparison between gender, feature and locations.

Mining valuable patterns in different data streams have been a significant research area in data mining research during the last decade. There are several proposed techniques for data mining that have been developed for mining patterns from different text documents. But to determine the method in which the patterns are discovered effectively is a popular issue in data mining research including text mining area. Most of the popular methods in text mining make use of term-based methodology which involves problems like synonym and polysemy. Some research on text mining proves that the pattern based or phrase based approach performs better compared to the term-based approach but there is no concrete evidence to prove this point. The

Furthermore, studies of research work have shown that in forums or blogs where people are capable to post opinions publicly without any hesitation ,group polarization often occurs, and its result is very positive comments, less positive, neutral , very negative comments, and little in between, meaning that those which are in between the positive or negative.

Social opinion has been analysed using sentiment analysis (SA). This is basically a natural language processing (NLP) application that uses computational linguistics and text mining to identify text sentiments as positive, negative and neutral. This technique is known as emotional polarity analysis which is related to text mining field, opinion mining and review mining. In addition, to calculate sentiment score, the sentiment acquired from the text is compared to a dictionary in order to determine the strength of that sentiment. Studies on sentiment analysis focus on text written in English such as sentiment lexicons while applying this to other languages will cause domain adaptation problem [12]. Traditional text classification is different from sentiment classification. Traditional text classification refers to pre-defined class to determine a document’s category, and it gauges the theme of the text itself, while the main aim of the latter is to determine the attitudes and opinion through mining and analysing user interest or other subjective information [13]. Studies in sentiment analysis have found that pre-processing the data is the procedure of cleaning and adapting.

Abstract: Relation classification is a keynote in the field of Natu-ral Language Processing (NLP) to mine information from text facing problems of over-reliance on the standard of handcrafted features. Features annotated by specialists and lin-guistic data derived from linguistic analysis modules is expen-sive and ends up with the difficulty of error propagation. Rela-tion extraction plays a crucial role in extracting struc-tured data from unstructured sources like raw text. One might want to seek out interactions between medicines to create medical information or extract relationships among people to create a simply searchable knowledgebase. We propose a deep Convolutional Neural Network model for the multi-label text relation classification task without hand crafted features. This model outperforms the best existing model as per our knowledge without depending much on manually engineered features with the small updates in the loss function applied.