sentiment analysis

Python for Data Analysis

by Wes McKinney  · 30 Dec 2011  · 752pp  · 131,533 words

structured form. As an example, a collection of news articles could be processed into a word frequency table which could then be used to perform sentiment analysis. Most users of spreadsheet programs like Microsoft Excel, perhaps the most widely used data analysis tool in the world, will not be strangers to these

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

by Wes McKinney  · 25 Sep 2017  · 1,829pp  · 135,521 words

structured form. As an example, a collection of news articles could be processed into a word frequency table, which could then be used to perform sentiment analysis. Most users of spreadsheet programs like Microsoft Excel, perhaps the most widely used data analysis tool in the world, will not be strangers to these

Beautiful Data: The Stories Behind Elegant Data Solutions

by Toby Segaran and Jeff Hammerbacher  · 1 Jul 2009

industry data and Center for Responsible Politics political contribution data. (See Color Plate 70.) I haven’t even touched things like linking stock prices to sentiment analysis of message boards, trying to tie together genetics and drug data, or determining whether restaurants in low-income neighborhoods are dirtier (according to the health

Understanding Sponsored Search: Core Elements of Keyword Advertising

by Jim Jansen  · 25 Jul 2011  · 298pp  · 43,745 words

metrics beyond impressions, clicks, and conversions. For example, the increasingly social aspects of Web sites, such as reviews and consumer comments, will likely lead to sentiment-analysis metrics that measure the tone of consumer comments about a brand or ad. This data can potentially affect how quality score is calculated. Already, sponsored

Lean Analytics: Use Data to Build a Better Startup Faster

by Alistair Croll and Benjamin Yoskovitz  · 1 Mar 2013  · 567pp  · 122,311 words

need Solution Respondents who try the MVP, engagement, churn, most-used/least-used features, people willing to pay Unique value proposition Feedback scores, independent ratings, sentiment analysis, customer-worded descriptions, surveys, search, and competitive analysis Customer segments How easy it is to find groups of prospects, unique keyword segments, targeted funnel traffic

Relevant Search: With Examples Using Elasticsearch and Solr

by Doug Turnbull and John Berryman  · 30 Apr 2016  · 593pp  · 118,995 words

data can be post-processed to augment the features already there. For instance, machine-learning techniques can be used to classify or cluster documents. Or sentiment analysis can be used to determine whether the text in a document is more positive or negative in tone. The possibilities are endless. After this new

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single solution feedback and gaining skills of relevance engineer information retrieval research into systematic approach for improving search-as-you-type searchable data semantic expansion sentiment analysis sentinel tokens, 2nd sharding short-tail application SHOULD clause, 2nd, 3rd, 4th, 5th signal construction signal discordance, 2nd avoiding combining fields into custom all fields

Data and the City

by Rob Kitchin,Tracey P. Lauriault,Gavin McArdle  · 2 Aug 2017

predictive policing – applications that often rely on decontextualized data and reductive modes of analysis, such as text mining based on trigger words or dictionary-based sentiment analysis. Ignoring stickiness of context can lead to Sticky data 105 cases where a terrorism suspect identified by unsupervised text analysis turns out to be the

Pax Technica: How the Internet of Things May Set Us Free or Lock Us Up

by Philip N. Howard  · 27 Apr 2015  · 322pp  · 84,752 words

political conversations over social media have real-world consequences and can provide a metric of public opinion. Senior officials get exclusive access to social media sentiment analysis through the Party’s media research team. One Chinese pollster blames a 10 percent drop in confidence in the Party to the rapid spread of

Places of the Heart: The Psychogeography of Everyday Life

by Colin Ellard  · 14 May 2015  · 313pp  · 92,053 words

of the application. It’s more common for tweets to be coded only to the home city of the tweeter. Nevertheless, the possibilities for using sentiment analysis, or even intention analysis, where text information is mined for clues as to what you plan to do next, will probably play an increasing role

AI Superpowers: China, Silicon Valley, and the New World Order

by Kai-Fu Lee  · 14 Sep 2018  · 307pp  · 88,180 words

. Remote tutoring has been around for some time, but perception AI now allows these platforms to continuously gather data on student engagement through expression and sentiment analysis. That data continually feeds into a student’s profile, helping the platforms filter for the kinds of teachers that keep students engaged. Almost all of

AI in Museums: Reflections, Perspectives and Applications

by Sonja Thiel and Johannes C. Bernhardt  · 31 Dec 2023  · 321pp  · 113,564 words

Succeeding With AI: How to Make AI Work for Your Business

by Veljko Krunic  · 29 Mar 2020

Artificial Intelligence: A Modern Approach

by Stuart Russell and Peter Norvig  · 14 Jul 2019  · 2,466pp  · 668,761 words

Keeping Up With the Quants: Your Guide to Understanding and Using Analytics

by Thomas H. Davenport and Jinho Kim  · 10 Jun 2013  · 204pp  · 58,565 words

The Art of SEO

by Eric Enge, Stephan Spencer, Jessie Stricchiola and Rand Fishkin  · 7 Mar 2012

Big Data Analytics: Turning Big Data Into Big Money

by Frank J. Ohlhorst  · 28 Nov 2012  · 133pp  · 42,254 words

The Four: How Amazon, Apple, Facebook, and Google Divided and Conquered the World

by Scott Galloway  · 2 Oct 2017  · 305pp  · 79,303 words

Applied Artificial Intelligence: A Handbook for Business Leaders

by Mariya Yao, Adelyn Zhou and Marlene Jia  · 1 Jun 2018  · 161pp  · 39,526 words

The Creative Curve: How to Develop the Right Idea, at the Right Time

by Allen Gannett  · 11 Jun 2018  · 247pp  · 69,593 words

The Age of Surveillance Capitalism

by Shoshana Zuboff  · 15 Jan 2019  · 918pp  · 257,605 words

Surveillance Valley: The Rise of the Military-Digital Complex

by Yasha Levine  · 6 Feb 2018  · 474pp  · 130,575 words

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

by Thomas H. Davenport  · 4 Feb 2014

Python Data Analytics: With Pandas, NumPy, and Matplotlib

by Fabio Nelli  · 27 Sep 2018  · 688pp  · 107,867 words

Mining of Massive Datasets

by Jure Leskovec, Anand Rajaraman and Jeffrey David Ullman  · 13 Nov 2014

The Data Detective: Ten Easy Rules to Make Sense of Statistics

by Tim Harford  · 2 Feb 2021  · 428pp  · 103,544 words

The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences

by Rob Kitchin  · 25 Aug 2014

Data Action: Using Data for Public Good

by Sarah Williams  · 14 Sep 2020

AIQ: How People and Machines Are Smarter Together

by Nick Polson and James Scott  · 14 May 2018  · 301pp  · 85,126 words

Data Mining: Concepts and Techniques: Concepts and Techniques

by Jiawei Han, Micheline Kamber and Jian Pei  · 21 Jun 2011

A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend Them Back

by Bruce Schneier  · 7 Feb 2023  · 306pp  · 82,909 words

Bad Data Handbook

by Q. Ethan McCallum  · 14 Nov 2012  · 398pp  · 86,855 words

Architects of Intelligence

by Martin Ford  · 16 Nov 2018  · 586pp  · 186,548 words

Big Data: A Revolution That Will Transform How We Live, Work, and Think

by Viktor Mayer-Schonberger and Kenneth Cukier  · 5 Mar 2013  · 304pp  · 82,395 words

Radical Technologies: The Design of Everyday Life

by Adam Greenfield  · 29 May 2017  · 410pp  · 119,823 words

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

by Eric Siegel  · 19 Feb 2013  · 502pp  · 107,657 words

Applied Text Analysis With Python: Enabling Language-Aware Data Products With Machine Learning

by Benjamin Bengfort, Rebecca Bilbro and Tony Ojeda  · 10 Jun 2018  · 125pp  · 27,675 words

Smarter Than You Think: How Technology Is Changing Our Minds for the Better

by Clive Thompson  · 11 Sep 2013  · 397pp  · 110,130 words

Nervous States: Democracy and the Decline of Reason

by William Davies  · 26 Feb 2019  · 349pp  · 98,868 words

Text Analytics With Python: A Practical Real-World Approach to Gaining Actionable Insights From Your Data

by Dipanjan Sarkar  · 1 Dec 2016

The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health--And How We Must Adapt

by Sinan Aral  · 14 Sep 2020  · 475pp  · 134,707 words

Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence

by Jerry Kaplan  · 3 Aug 2015  · 237pp  · 64,411 words

Humans Are Underrated: What High Achievers Know That Brilliant Machines Never Will

by Geoff Colvin  · 3 Aug 2015  · 271pp  · 77,448 words

Human + Machine: Reimagining Work in the Age of AI

by Paul R. Daugherty and H. James Wilson  · 15 Jan 2018  · 523pp  · 61,179 words

Terms of Service: Social Media and the Price of Constant Connection

by Jacob Silverman  · 17 Mar 2015  · 527pp  · 147,690 words

Graph Databases

by Ian Robinson, Jim Webber and Emil Eifrem  · 13 Jun 2013  · 201pp  · 63,192 words

The New Digital Age: Transforming Nations, Businesses, and Our Lives

by Eric Schmidt and Jared Cohen  · 22 Apr 2013  · 525pp  · 116,295 words

Your Computer Is on Fire

by Thomas S. Mullaney, Benjamin Peters, Mar Hicks and Kavita Philip  · 9 Mar 2021  · 661pp  · 156,009 words

Digital Disconnect: How Capitalism Is Turning the Internet Against Democracy

by Robert W. McChesney  · 5 Mar 2013  · 476pp  · 125,219 words

Likewar: The Weaponization of Social Media

by Peter Warren Singer and Emerson T. Brooking  · 15 Mar 2018

New Laws of Robotics: Defending Human Expertise in the Age of AI

by Frank Pasquale  · 14 May 2020  · 1,172pp  · 114,305 words

Seeking SRE: Conversations About Running Production Systems at Scale

by David N. Blank-Edelman  · 16 Sep 2018

When McKinsey Comes to Town: The Hidden Influence of the World's Most Powerful Consulting Firm

by Walt Bogdanich and Michael Forsythe  · 3 Oct 2022  · 689pp  · 134,457 words

Natural Language Annotation for Machine Learning

by James Pustejovsky and Amber Stubbs  · 14 Oct 2012  · 502pp  · 107,510 words

The Happiness Industry: How the Government and Big Business Sold Us Well-Being

by William Davies  · 11 May 2015  · 317pp  · 87,566 words

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

by Seth Stephens-Davidowitz  · 8 May 2017  · 337pp  · 86,320 words

The Formula: How Algorithms Solve All Our Problems-And Create More

by Luke Dormehl  · 4 Nov 2014  · 268pp  · 75,850 words

Hands-On Machine Learning With Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurélien Géron  · 13 Mar 2017  · 1,331pp  · 163,200 words

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

by Valliappa Lakshmanan, Sara Robinson and Michael Munn  · 31 Oct 2020

Finding Alphas: A Quantitative Approach to Building Trading Strategies

by Igor Tulchinsky  · 30 Sep 2019  · 321pp

Bold: How to Go Big, Create Wealth and Impact the World

by Peter H. Diamandis and Steven Kotler  · 3 Feb 2015  · 368pp  · 96,825 words

Zero to Sold: How to Start, Run, and Sell a Bootstrapped Business

by Arvid Kahl  · 24 Jun 2020  · 461pp  · 106,027 words

The Twittering Machine

by Richard Seymour  · 20 Aug 2019  · 297pp  · 83,651 words

Grouped: How Small Groups of Friends Are the Key to Influence on the Social Web

by Paul Adams  · 1 Nov 2011  · 123pp  · 32,382 words

Ghost Work: How to Stop Silicon Valley From Building a New Global Underclass

by Mary L. Gray and Siddharth Suri  · 6 May 2019  · 346pp  · 97,330 words

Billionaire, Nerd, Savior, King: Bill Gates and His Quest to Shape Our World

by Anupreeta Das  · 12 Aug 2024  · 315pp  · 115,894 words

Merchants of Truth: The Business of News and the Fight for Facts

by Jill Abramson  · 5 Feb 2019  · 788pp  · 223,004 words

The Gig Economy: A Critical Introduction

by Jamie Woodcock and Mark Graham  · 17 Jan 2020  · 207pp  · 59,298 words

This Is Not Normal: The Collapse of Liberal Britain

by William Davies  · 28 Sep 2020  · 210pp  · 65,833 words

These Strange New Minds: How AI Learned to Talk and What It Means

by Christopher Summerfield  · 11 Mar 2025  · 412pp  · 122,298 words

Targeted: The Cambridge Analytica Whistleblower's Inside Story of How Big Data, Trump, and Facebook Broke Democracy and How It Can Happen Again

by Brittany Kaiser  · 21 Oct 2019  · 391pp  · 123,597 words

The Filter Bubble: What the Internet Is Hiding From You

by Eli Pariser  · 11 May 2011  · 274pp  · 75,846 words

The Facebook era: tapping online social networks to build better products, reach new audiences, and sell more stuff

by Clara Shih  · 30 Apr 2009  · 255pp  · 76,495 words

Picnic Comma Lightning: In Search of a New Reality

by Laurence Scott  · 11 Jul 2018  · 244pp  · 81,334 words

Artificial Intelligence: A Guide for Thinking Humans

by Melanie Mitchell  · 14 Oct 2019  · 350pp  · 98,077 words

Talk to Me: How Voice Computing Will Transform the Way We Live, Work, and Think

by James Vlahos  · 1 Mar 2019  · 392pp  · 108,745 words

Traffic: Genius, Rivalry, and Delusion in the Billion-Dollar Race to Go Viral

by Ben Smith  · 2 May 2023

IRL: Finding Realness, Meaning, and Belonging in Our Digital Lives

by Chris Stedman  · 19 Oct 2020  · 307pp  · 101,998 words

Designing Great Data Products

by Jeremy Howard, Mike Loukides and Margit Zwemer  · 23 Mar 2012  · 23pp  · 5,264 words