ipl-logo

Stock Twits: A Social Media Analysis

539 Words3 Pages

Social media comments and news on Internet regarding any company can impact the flow of stock prices. Forecasting the behavior of stock market is an important obsession for many professionals. Investment banks, evade funds, and insurance companies spend vital time and effort in predicting changes in the stocks. This interest in stock markets has for the last few decades driven the development of better tools for analyzing the mood of general public information. Stock Twits is a micro-blogging platform where a user can post or read messages of up-to 140 characters. Registered user can read or post messages while the unregistered users are only able to read messages. It is mainly used by investors, traders and entrepreneurs who help them to share …show more content…

It contains posts which may be considered as important data about every theme. Through Stock Twits alone, more than 400 Thousand messages are posted for every day. It has at-most 140 characters, that is more than 56 million characters produced every day. Despite the fact that every message may not appear to be greatly significant, it has been used to collect a large amount of message that can provide profitable knowledge about open state of mind and assessment on certain fields. In this work, we use Naive Bayes classification technique of machine learning that are generally use to classify the sentiment out of any sentence. We also intend to find the degree to which messages are associated to stock costs on a day based scale and monthly based scale, and also inquire about which singular words from messages are connected with changes in stock costs. Generally, stock value connections include numerous more variables, however we will simply take a look at the connection between messages and variations on day based scale. The overall aim is to analyze the StockTwits's messages Sentiment posted by the users regarding Stock Market and analyse the flow of stock market with respect to social media

Show More
Related

Pt1420 Unit 3 Lab Report

485 Words | 2 Pages

The consequences also show that the term classification can be effectively approximated by the proposed clustering method. The proposed methodology is reasonable and robust. This paper demonstrates the new models totally tested and prove the results statistically significant. The paper also proves that the use of unrelated opinion is considerable for improving the performance of relevance feature discovery models. A promising methodology for developing effective text mining models for RFD discovery based on both positive and negative

Read More

Nt1310 Unit 8.1 Research Paper

568 Words | 3 Pages

This gives access to different kinds of websites and information that is shared between

Read More

Sack Vs Hearst

182 Words | 1 Pages

Hearst’s[] works was based on classification of documents using sentiments. A text based systems should provide more information about the content apart from what the standard information retrieval system provides. This is should be done in a manner by avoiding complex and resource consuming behaviour of understanding the contextual meaning. His idea is to approach document discovered based on directionality of the sentence. This is carried out by coercing the sentences into smaller metamorphic models for better semantic understanding and interpretation.

Read More

The Last Stop On Market Street Analysis

847 Words | 4 Pages

In 2015, Matt de la Peña, published the novel The Last Stop on Market street. The following year it received the Newbery Award, in order to receive such a honor the author and the book must stand apart from all other books. One of the reasons the committee for Johns Newbery Award loved his book, and stood out to them was because of the theme of the story. Peña overall theme in his story The Last Stop on Market Street was seeing the beauty in life and new perspectives.

Read More

Decision Making DBQ Essay

795 Words | 4 Pages

Human decision making or thinking is always affected by others thinking, ideas and opinions. The growth of social web gives a huge amount of user generated data such as comments, reviews and opinions about products, services and events. This data will be useful for consumers as well as manufacturer. While purchasing any product online consumers usually check comments or opinion of others about the product. Manufacturer can understand the response of that product and get insight into its products strength and weaknesses based on the sentiment of the customers.

Read More

Should To Kill A Mockingbird Be Taught In Schools Essay

467 Words | 2 Pages

To Kill a Mockingbird, written by Harper Lee, is a literary classic. Over the years the novel To Kill a Mockingbird has been challenged and removed from the school curriculum. Many people have stated that it is no longer relevant as well as does not address topics such as rape or racism in a sensitive nature. To Kill a Mockingbird is a harsh novel, for that reason this novel should not continue to be taught in high school classrooms. The central conflict of the story is the raping of Mayella Ewell, which was later in the book proven false, subjects such as rape can be an extensive issue, especially with younger ages.

Read More

Hum 186: The Rise Of Social Media

877 Words | 4 Pages

Social Media Paper Albert Perez HUM/186 28 July 2017 Allyson Wells   With the rise of the internet, a vast amount of information was almost instantly available to us with the few strokes of the keyboard and clicks of a mouse. With the ability to have access to endless amounts of information, we have both made our lives easier as well as more difficult. Easily obtainable information can be incorrect. Easily altered or posted information, without fact checking, one can spread misinformation.

Read More

Useful Fools Analysis

642 Words | 3 Pages

The story I read was Useful Fools by C.A Schmidt. The story is all about a young boy named Alonso, who lives in a poor shanty little town in Peru. He lives with his father, mother, and siblings. His father is a painter and his mother works at the local children's hospital. Alonso lives his life avoiding terrorism and the police.

Read More

Don T Get Trapped By Social Media Analysis

833 Words | 4 Pages

Ashley, Heather. "Don't Get Trapped By Social Media." Education Digest 79.9 (2014): 32-36. Education Research Complete. Web.

Read More

Seven Practice Areas Of Text Analysis Paper

1013 Words | 5 Pages

The main purpose of this paper will be defining text analytics as well as giving five kinds of linguistic models that text analytics uses. The five models are lexical analysis, named entity recognition, disambiguation, coreference, and sentiment. Also important factors are the practicing areas of text analytics which are search and information retrieval, documenting clustering, document classification, web mining, information extraction, natural language processing, and concept extraction . The seven practice areas of text analytics I will also discuss the questions on how to find the right area. The questions are granularity, focus, available information, syntax or semantics and web or traditional text.

Read More

Social Media Analysis

1210 Words | 5 Pages

The Primetime Emmy Awards broadcast is a primetime television event that companies in years past used to advertise their brands. The broadcast typically airs in a time slot that is conducive to reaching large amounts of consumers, but social media changed the advertising dynamic and the preferred means of advertising in recent years. The Emmy Awards and the time slot of broadcast generally reaches millions of viewers each year making it a smart advertising investment; however, the advent of social media makes an investment in television advertising incomplete as a sound advertising strategy on its own. Instead, a sound business advertising strategy includes both television and social media outlets to broaden the reach of the company’s brand.

Read More

Opinion Mining And Sentiment Analysis

982 Words | 4 Pages

The aim of this report is to build an algorithm that can accurately classify Tweets as positive or negative with respect to a specific subject. The proposed system uses the training data set dictionary to observe the semantic orientation

Read More

Pros And Cons Of Social Media Analytics

1261 Words | 6 Pages

Social Media Analytics and features It is the process of applying data (both structures as well as unstructured) from social media sites such as twitter, facebook, Google+ and other such sites for better understanding of customer attitude and behavior. It also serve as an effective tool for business and market research and ultimately for business decision making. The large availability of user-generated data and the links between users leads to the dispersion of useful information, opinions and sentiment as well as emergent issues and trends (Leskovec 2011; Agrawal et al. 2011; Nagarajan et al. 2011) and is referred to as ‘Social Media Analytics’.

Read More

Informative Speech On Social Media

1948 Words | 8 Pages

INFORMATION Social media has to be one of the greatest developments of human history. It has connected humanity like never before. It has changed the way that people do business, with companies providing their own social media accounts to interact in real time with customers. We can quickly see what’s going on in our communities and around the world.

Read More

Does Social Media Influence Public Opinion

748 Words | 3 Pages

Each year numerous amount of people become a social media user. The eMarketer website estimated that by 2019 “there will be around 2.77 billion social media users around the globe, up from 2.46 billion in 2017” (1). A great deal of those users utilizes social media to communicate their opinion to other users; as a matter of fact, these users might change their perspective a certain person might have on a topic. Social media is a marketing tool, therefore people utilize those social media platforms to pursue, and even manipulate the public to think in a certain way; hence, why social media can influence the public opinion.

Read More

More about Stock Twits: A Social Media Analysis

Related Topics

Open Document