This project performs sentiment analysis in various different phases. Initially the source of input

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

In 1848, Elizabeth Stanton and Lucretia Mott organized a women’s rights convention. The convention was held to address the social, civil, and religious condition and rights of women. The first day meeting began with women exclusively invited, the second day was held for the public which included men. Elizabeth wrote the Declaration of Sentiments which is a disquisition about women’s right and their role in society. In the SENECA FALLS WOMEN’S RIGHTS CONVENTION, the author emphasizes the importance of women’s participation in leadership roles in society. By mimicking the Declaration of Independence Stanton was able to speak amongst many who were concerned about equality with men before the law, in education, and employment. During the 18th century,

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

Document opinion analysis is about classifying the overall document that have sentiment words expressed by the authors. The task is to determine whether a document is positive, negative or neutral (Wawre & Deshmukh). Document level categorization attempts to classify sentiments in web forum postings, blogs, movie and news

To the average technologically advanced American, Twitter is one of the most visited social media sites. From a popularity contest standpoint, Twitter would be amongst the top winners; however, when evaluating Twitter from a business analytical aspect it might not be a lucrative business venture. The attractive attribute to Twitter Inc. is the fact the sites does not make any of its users pay. Twitter is designed to allow users to voice multiple thoughts, ideas, or share different information amongst the site’s visitor. Unlike Facebook, Twitters does not have multi-million dollar corporations using the site on a regular basis to market more potential users. Therefore, with a low revenue base and poor strategic development implementation

I would like to introduce you to Twitter Inc., a modern and popular form of self-expression on the Internet. It provides users with a plethora of services including Twitter, an application that allows the user to share and distribute content to their followers. The company also owns Vine, a mobile application where users can create and share short looping videos, and #Music, another mobile application that

In this organization setting, the company resources allocated based on availability on a first-come first-served basis without necessarily aligning to enterprises objectives. Every business unit and function has their own analytics project, however, analytics group only acts like an internal consultant who charges business units for their services. Now we are facing a challenge of slowly profit growth and the one of the most important reasons related to this problem is that the slowly growing new customer volume. In this case, targeting the potential customers and engaging with them will be a good solution. To do so, the company is seeking an effective way to use the resources effectively to analyze the real-time tweet data, so they can interact with people online and determine if those people are likely users and then try to engage them online. Addressing an analytics

If you’re analyzing a company’s Twitter page site, here are a few concerns to response to acquire understanding of their actions:

Twitter provides a very good online platform for marketing and advertising products. It is among the best social media adverts providers and many companies while launching their brands like doing so on twitter since it is always right on time. However, Twitter has a growth problem. Well, Twitter actually has a number of problems — employee retention, profitability and lack of trust among diehard users to name a few — but user growth seems to be its most critical area (Russell & Lunden, 2016). The users are losing interest in what the platform can offer. In this report we will be discussing how to overcome this current issue, the analysis we conducted and the strategies that we have proposed and then applied to

In a bid to accept technological advancements, the term social networking has become inevitable and has to be embraced. Social networks have greatly accelerated their place towards transforming lives as they have brought out an easy way of communication. Whether at in our homes or mobile phones, they have brought in varied changes on how communication takes place. Twitter is online social networking web service and a micro-blogging service that makes it possible for its users to send and read messages that are text based that contain a limited number of characters of approximately 140 (Peterson, 2012). These messages are known as tweets and are usually displayed on ones profile. This is a way of building up a social network and gets connected to the right people. It is one of the leading social networking sites on the web where the users can subscribe to other users tweets and this is known as following and those who subscribe are known as followers. It is a miniature blog for people who want a blog but do not want a blog. It is often described as a cross between blogging and instant messaging.

The growth of social media has been the make or break of today’s companies. The number of virtual assistants increased and continues to increase because of the demand to keep up with the social trends and stay pertinent against competitors. We base efficiency on the amount of website traffic we generate and the response to the content we provide.

This article investigated some of the fundamental research issues inside of the field of sentiment analysis and examined several algorithms that intend to understand each of these issues. It has also portrayed a percentage of the major applications of sentiment analysis and gave a couple significant open difficulties. Numerous commercial sentiment analysis systems still utilize oversimplified systems so as to maintain a strategic distance from these open difficulties also, subsequently their execution takes off a ton to be sought. Giving satisfactory answers for these difficulties will make the region of sentiment analysis significantly more widespread across the board. Sentiment analysis (or Opinion mining) is characterized as the errand of finding the opinions of creators about particular elements. The choice making procedure of individuals is influenced by the conclusions shaped by thought leaders and ordinary individuals. At the point when someone needs to purchase an item online he or she will commonly begin by hunting down surveys and opinions composed by other individuals on the different offerings. Sentiment analysis is one of the most sizzling research regions in computer science. With NLP, while handling the configuration of cognitive systems, a noteworthy zone of work goes for empowering machines to prepare both composed and spoken types of common

Sentiment analysis consists of various elements out of which lexicons are an integral part. These lexicons are nothing but the words which make up a sentence. These lexicons can also be known as sentiment lexicon or opinion lexicons. It is important that we classify the lexicons we have into positives or negatives in order to achieve review analysis. One of the methods for sentiment analysis and classification is done on the basis of these lexicons. There are two broad approaches for sentiment analysis. These are lexicon based approaches and machine learning based approaches.

In the first phase, the extraction patterns are applied on a large corpus of text obtained from twitter to yield a set of subjective terms. In the second phase, the extracted terms, are assigned polarity based on the normalized point wise mutual information score between them and positive and negative terms derived from an existing polarity lexicon. Details of the process are presented in the following subsections.

Natural Language Processing (NLP) deals with actual text element processing. The text element is transformed into machine format by NLP. Artificial Intelligence (AI) uses information provided by the NLP and applies a lot of maths to determine whether something is positive or negative. Several methods exist to determine an author’s view on a topic from natural language textual information. Some form of machine learning approach is employed and which has varying degree of effectiveness. One of the types of natural language processing is opinion mining which deals with tracking the mood of the people regarding a particular product or topic. This software provides automatic extraction of opinions, emotions and sentiments in text and also tracks attitudes and feelings on the web. People express their views by writing blog posts, comments, reviews and tweets about all sorts of different topics. Tracking products and brands and then determining whether they are viewed positively or negatively can be done using web. The opinion mining has slightly different tasks and many names, e.g. sentiment analysis, opinion extraction, sentiment mining, subjectivity analysis, affect analysis, emotion analysis, review mining, etc.