Results of project

In this paper, we investigate the utility of linguistic features for detecting the sentiment of Twitter messages. We evaluate the usefulnes…

In this paper, we investigate the utility of linguistic features for detecting the sentiment of Twitter messages. We evaluate the usefulness of existing lexical resources as well as features that capture information about the informal and creative language used in microblogging. We take a supervised approach to the problem, but leverage existing hashtags in the Twitter data for building training data.

Day by day, social media and blogs become the best platform to express views and opinions about different issues, such as evaluation of pro…

Day by day, social media and blogs become the best platform to express views and opinions about different issues, such as evaluation of product, services, political matters. The social media becomes micro-blogs, and Twitter becomes one of the most significant sources of information, knowledge and expression of feelings, reactions to the events, to tv-programs, political statements. Nowadays, a lot of factories and big corporations start polls about their new upcoming product to judge and to analyze the reactions of the people and their sentiments about those new products. Now, researchers focus on developing a technology which can identify and detect overall sentiments of users who are present on micro-blogs. Here, in this article, there is a focus on one of the famous social media micro-blog that is “Twitter” and the way of analyzing different models to classify Tweets posted into positive, negative and neutral sentiments. Thus this video shows how to do the Sentiment Analysis of Twitter Data. To do so, they used two classifications models. The first one is a three-way task model for classifying positive, negative and neutral classes sentiments, and second is, a binary task-based model that classify sentiments into two classes that are positive and negative.

Nowadays, big companies use different strategies to manipulate people and set some unwritten rules. People are affected by these strategies…

Nowadays, big companies use different strategies to manipulate people and set some unwritten rules. People are affected by these strategies unconsciously. They influence our lives, our choices and make us feel as if we make our own choices where in fact these choices are manipulated. One example of this strategy is "more for less" notion which currently most big companies employ. As a result of these strategies, nowadays people purchase more than what they actually need. Big companies such as Amazon, Wallmart etc. are some of the examples that use these tactics. Besides this,in a modern world, people are convinced that if they buy something that is for example more expensive or more "healthy", they are better mother, better father or just better person. These make people feel like they are more choosy and they care more about their children. This is how our emotions are used for the benefit of companies. The combined market capitalization of Amazon, Apple, Facebook and Google is now equivalent to the GDP of India. How did these four companies come to infiltrate our lives so completely? In a spectacular rant, Scott Galloway shares insights and eye-opening stats about their dominance and motivation -- and what happens when a society prizes shareholder value over everything else. Followed by a Q&A with TED Curator Chris Anderson. (Note: This talk contains graphic language.)

Sentiment analysis (also known as opinion mining) is an active research area in natural language processing. It aims at identifying, extrac…

Sentiment analysis (also known as opinion mining) is an active research area in natural language processing. It aims at identifying, extracting and organizing sentiments from user generated texts in social networks, blogs or product reviews. [...] With the rapid growth of social media such as Twitter, Facebook, and online review sites such as IMDB, Amazon, Yelp, sentiment analysis draws growing attention from both research and industry communities

Article about Sentiment analysis from KDnuggets™ which is a leading site on AI, Analytics, Big Data, Data Mining, Data Science, and Machine…

Article about Sentiment analysis from KDnuggets™ which is a leading site on AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning.

In November 2018, the European Commission presented its Digital Strategy, where it set the vision to become a ‘digitally transformed, user-…

In November 2018, the European Commission presented its Digital Strategy, where it set the vision to become a ‘digitally transformed, user-focused and data-driven administration by 2022’. As EU policies rely increasingly on data, the ways in which it is stored, shared and processed are at the core of the current digital discussions. Geopolitical, economic and security developments have led to calls for a return to national and regional solutions. Meanwhile, governments and companies are finding it challenging to use the diverse potential of new technologies available on the global marketplace to remain competitive. Terms such as ‘Data sovereignty’ are used to make digital information subject to the laws of the country in which such data is shared, processed and stored. As the US and China further develop their technology industries’ presence in the EU, policymakers are contemplating policy initiatives that support the EU’s digital development, whilst simultaneously seeking to protect it.

Why we should have agency over our digital identity data & how to get it | Roop Singh | TEDxAtlanta Roop Singh is a technology strategis…

Why we should have agency over our digital identity data & how to get it | Roop Singh | TEDxAtlanta Roop Singh is a technology strategist and privacy advocate. He believes that having agency over own digital identity data is a fundamental human right. In this talk, he offers an ingeniously simple demonstration of how blockchain can and will help us regain agency over our data while facilitating digital commerce.

A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka This video on the Sentiment Analysis in Pyth…

A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka This video on the Sentiment Analysis in Python is a quick guide for the one who is getting started with Sentiment Analysis.

If you want to find out what your customers like (and dislike!), then you need to run sentiment analysis... but what should you be analyzin…

If you want to find out what your customers like (and dislike!), then you need to run sentiment analysis... but what should you be analyzing - and what exactly does it show you? Learn more inside the video as #ChiaExplains how sentiment analysis lets you find out what your customers like (and dislike)!

Berlin & Vienna are going Barcelona What's Berlin's digital strategy for the next years? How can technology lead to more participation in…

Berlin & Vienna are going Barcelona What's Berlin's digital strategy for the next years? How can technology lead to more participation in democratic processes? Where do we need joint initiatives by actors from the economy, civil society and politics, to ensure a sustainable, participatory and efficient digital transformation? Which needs and ressources does civil society offer? And what can we learn from other metropolitan areas around the world, especially Barcelona?