eBooks mining - Search Books

Dr. Gaurav Gupta, Dr. Gurjit Singh Bhathal SENTIMENT ANALYSIS OF ENGLISH TWEETS USING DATA MINING

Data Mining, Sentiment Analysis

Technology & Engineering
English
9626 Words
Ages 18 and up
0
0

Due to the popularity of internet it becomes very easy for people to share their views over social networking websites. Most popular website among them is twitter. Twitter is a widely used social networking website that is used by the numerous people to give their opinion regarding a particular topic or product. So, today it becomes necessary to analyze the tweet of the people. The process to analyze and interpret the tweets is known as sentiment analysis. The main motive of this project is to identify how the tweets on the social networking website are used to identify the opinion of people regarding the particular product or policy. Twitter is a online website that allows the user to post the status of maximum 140 characters. Twitter has over 200 million registered users and 100 million active users [34]. So it comes to be a great source of valuable information. This project aims to develop a better way for sentiment analysis which is nothing a simple way to classify the tweets into positive, negative or neutral. The result of the sentiment analysis can be used by various organizations. Sentiment analysis can be used for forecasting the stock exchange, used to predict the popularity of any product in market, or used to predict the result of elections based on the public views on the social sites. The main motive of project is to develop a better way to accurately classify the unknown tweets according to their content. [more]

Keywords: Sentiment Analysis, Data Mining, Tweets

$5.99

Dr. Hedaya Mahmood Alasooly Earning Money Online through Crypto Currency Airdrops, Mining, Faucets and Trading

Computers
English
3669 Words
No Age Recommendation
117
0

A crypto faucet is a website that will give you satoshis in exchange for viewing ads or completing simple tasks. Crypto currency mining is the process in which transactions between users are verified and added into the block chain. The process of mining is also responsible for introducing new coins into the existing circulating supply and is one of the key elements that allow cryptocurrencies to work as a peer-to-peer decentralized network, without the need for a third party central authority. Cloud mining happens in the “cloud.” That basically means that the hardware used for mining is not physically located at your premises, but it is accessed remotely through the internet. An airdrop, in the cryptocurrency business, is a marketing stunt that involves sending free coins or tokens to wallet addresses in order to promote awareness of a new virtual currency. In Bounty programs, participants get cryptocurrencies in exchange for promotion. A cryptocurrency exchange is any system that operates on the basis of trading cryptocurrencies with other assets. There are also some on-line service designed for those who wants to exchange electronic currencies quickly, safely and at a favorable rate, such as: Webmoney, Perfect Money, AdvCash, Payeer, Skrill, Neteller, Epay, Payza, PayPal, Visa/Master Card, Western uniоn, MoneyGram, Bitcoin, Ethereum, Litecoin. This work will guide the user to a list of online sources to earn money in the internet through crypto faucets, mining, cloud mining, airdrops and bounties. Then I will list some of the best online crypto currency exchanges and electronic currencies exchangers that can be used. The book consists from the following parts: Some sources for crypto faucets Definition of cryptocurrrency mining and cloud minining Some useful websites for cryptocurrency mining and cloud minining Airdrop and Bounty definitions Some online sources to look for airdrops and bounties events Some Youtube channels to fellow up latest airdrops, faucets and mining websites Some websites to get information about cryptocurrency prices and market capitalization Some trusted cryptocurrency exchanges Some exchanger monitoring platforms Some electronic currencies exchangers [more]

Keywords: Crypto Currency, Airdrop, Faucet, Cloud Mining, Exchanges, Paypal, Exchanger, Bounty, Ethereum, Bitcoin, Blockchain, Crypto Currency, Airdrop, Faucet, Cloud Mining, Exchanger, Exchanges, Paypal, Bounty, Ethereum, Bitcoin, Blockchain [more][Less]

$4.99

Martin Barkawitz Waschtag im Mining Camp

Short Story
German
7267 Words
Ages 16 and up
81
0

Keine Gnade für Großmäuler! Manchmal kann es tödlich sein, die Klappe zu weit aufzureißen. Und einen möglichen Gegner zu unterschätzen, ist ein Fehler, den niemand zweimal macht - jedenfalls nicht im Wilden Westen. + Bonus-Story "Messermädchen" Der Autor Martin Barkawitz schreibt seit 1997 unter verschiedenen Pseudonymen überwiegend in den Genres Krimi, Thriller, Romantik, Horror, Western und Steam Punk. Er gehörte u.a. zum Jerry Cotton Team. Von ihm sind fast dreihundert Heftromane, Taschenbücher und E-Books erschienen. Aktuelle Informationen, ein Gratis-E-Book und einen Newsletter gibt es auf der Homepage: Autor-Martin-Barkawitz.de Ein Fall für Jack Reilly Das Tangoluder Der gekreuzigte Russe Der Hindenburg Passagier Die Brooklyn Bleinacht Die Blutstraße Andere Bücher des Autors Blutmühle Höllentunnel Der Schauermann SoKo Hamburg - Ein Fall für Heike Stein: Tote Unschuld Musical Mord Fleetenfahrt ins Jenseits Reeperbahn Blues Frauenmord im Freihafen Blankeneser Mordkomplott Hotel Oceana, Mord inklusive Mord maritim Das Geheimnis des Professors Hamburger Rache Eppendorf Mord Satansmaske Fleetenkiller Sperrbezirk Pik As Mord Leichenkoje Brechmann Hafengesindel Frauentöter Killer Hotel Alster Clown Inkasso Geier [more]

Keywords: Kurzgeschichten & Anthologien, Spannung, Western, Historische-Geschichte, Action & Abenteuer, kostenlos, gratis, Texas Western, USA, Wildwest

€3.99

The Department of Industrial Relations Mining Laws of Ohio, 1921

Fiction
English
33112 Words
Ages 18 and up
2
0

The Department of Industrial Relations (also called DIR) was an Australian government department that existed between July 1987 [more]

For Free

Anonymous . Mining Laws of Ohio, 1921

Law
English
34966 Words
Ages 18 and up
2
1

The chief inspector of minesshall have an office at the seat of government, in which he shallkeep the maps and plans of all mines in the state, and all records,correspondence, papers, apparatus, and other property belonging to the state, pertaining to his office, in accessible and convenientform for reference by persons entitled to examine them, all of which he shall deliver to his successor in office. [more]

For Free

VIGNESH RAMAMOORTHY H Fuzzy C-mean Clustering using Data Mining

Technology & Engineering
English
19875 Words
Ages 10 and up
75
0

The goal of traditional clustering is to assign each data point to one and only one cluster. In contrast, fuzzy clustering assigns different degrees of membership to each point. The membership of a point is thus shared among various clusters. This creates the concept of fuzzy boundaries which differs from the traditional concept of well-defined boundaries. In hard clustering, data is divided into distinct clusters, where each data element belongs to exactly one cluster. In fuzzy clustering (also referred to as soft clustering), data elements can belong to more than one cluster, and associated with each element is a set of membership levels. These indicate the strength of the association between that data element and a particular cluster. Fuzzy clustering is a process of assigning these membership levels, and then using them to assign data elements to one or more clusters. This algorithm uses the FCM traditional algorithm to locate the centers of clusters for a bulk of data points. The potential of all data points is being calculated with respect to specified centers. The availability of dividing the data set into large number of clusters will slow the processing time and needs more memory size for the program. Hence traditional clustering should device the data to four clusters and each data point should be located in one specified cluster .Imprecision in data and information gathered from and about our environment is either statistical(e.g., the outcome of a coin toss is a matter of chance) or no statistical (e.g., “apply the brakes pretty soon”). Many algorithms can be implemented to develop clustering of data sets. Fuzzy C-mean clustering (FCM) is efficient and common algorithm. We are tuning this algorithm to get a solution for the rest of data point which omitted because of its farness from all clusters. To develop a high performance algorithm that sort and group data set in variable number of clusters to use this data in control and managing of those clusters. [more]

$5.49

Louis Becke The Great Crushing at Mount Sugar-Bag A Queensland Mining Tale

Fiction
English
6152 Words
Ages 18 and up
2
0

Becke was born at Port Macquarie, New South Wales, son of Frederick Becke, Clerk of Petty Sessions and his wife Caroline Matilda, née Beilby. Both parents were born in England. Becke was the ninth of twelve children and had a tendency to wander; he has stated that before he was 10 he had twice run away from home. The family moved to Hunters Hill, Sydney in 1867 and Becke was educated at Fort Street High School. In 1869, Becke travelled to San Francisco with his brother William Vernon and was away for nineteen months. At 16 years of age, Becke was a stowaway on a ship bound for Samoa. In Apia he took a job as a book-keeper in the store of Mrs Mcfarlane which he held until some time after December 1872.[1] Becke sailed a ketch, the E.A. Williams to Mili Atoll to deliver it to William "Bully" Hayes, the notorious blackbirder. [more]

For Free

Aribert Raphael BAMAKO

The Savoi Affair

Adventure
English
154239 Words
No Age Recommendation
3218
6

Carmine Resources Ltd., a public mining company located in Vancouver, Canada, engaged the services of Mr. Amadou Savoi. He was to oversee the application for a gold exploration permit in NW Mali. Soon after Talya Kartz’s arrival in Bamako, Mr. Savoi disappears along with his niece, Rheza McLean. Talya needs to find them in order to clear Carmine’s name of any wrong-doing in the embezzlement of funds, alleged bribing of government officials and involvement in the murder of Richard Gillman. Talya’s investigation leads her to Dakar where she discovers that the embezzled funds have been invested in the illegal mining of Sabodala in SE Senegal. With the able assistance of Hassan Sangor, a Malian attorney, and Captain Sahab, a private pilot, she unravels the mystery behind Savoi and Rheza’s disappearance and the murder of Richard Gillman. [more]

Keywords: African, adventure, mining, mystery, Bamako

For Free

Roger L. Philpot Kentucky Coal Miners

Where They Worked, Where They Lived

Education
English
2392 Words
Ages 10 and up
2968
10

The coal miner I know comes from a special breed of man who works in the darkness under dangerous conditions and breathes the coal dust that gives him black lung and no hope of a retirement future. The work is dirty and dangerous and many lost their lives due to the neglect of mine operators and poor implementation of State and Federal laws regulating the way mining should be conducted. The work is dirty and dangerous and many lost their lives due to the neglect of mine operators and poor implementation of state and Federal laws regulating the way mining should be conducted. The miners and their families lived in a settlement called coal camps. The houses, merchandise store, church, and schools were owned by the coal company. I am the son of a Kentucky coal miner, I was raised in a coal camp. This is my story. [more]

Keywords: Coal Mining, Coal, Coal Miner, Coal Pictures, Mining disasters, Coal Mining facts

For Free

Roger L. Philpot Coal Miner's Poems

From Light To Dark

Poetry
English
2129 Words
No Age Recommendation
14335
31

Collection of poems written by coal miners and others who have experienced the life in the Appalachian coalfields. [more]

Keywords: coal miner poems, coal miner poetry, poems written by coal miners, coal mining, coal, coal mining accidents, coal mining disasters poetry, poetry of coal mining

For Free

BookRix

eBooks „mining“

Books (102)

eBooks „mining“

Books (102)

New privacy policy and customized terms