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Qaagi - Book of Why

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Businesses use NLPto create‘ sentiment ’ analysis

The first step in learning NLP modelsis creatinga sentiment analysis

Using text and e - mails by applying NLP helpsto createa sentiment analysis

for assessing points of view and emotions of post writers(passive) is designedSentiment analysis

to distinguish between conflicting sentiments about different topics within the same review(passive) is designedSentiment analysis

to provide you with statistical data of negative and positive sentiments about your brand , services and products being launched(passive) is designedSentiment analysis

algorithms(passive) are designedSentiment analysis

deeply(passive) is ... influencedSentiment analysis

to improve understanding of what users think about companies , products , or services(passive) is designedSentiment analysis

Some examples are about the transformation of traditional processes : marketing ( from push to trusted relationships and brand advocacy ) , R&D ( from new ideas invented internally and tested on the market to shared insights coming from the market to generate break - throughs for the market ) , from email , phone and knowledge silos to networked knowledge harvested to create value To improve marketing effectiveness : you can use analytics and social networksto discoversentiment analysis

The peopledesignsentiment analysis algorithims

Sophisticated analysis of text through natural language processingto createsentiment analysis

WP3createdsentiment analysis

to use real - time datato createsentiment analysis

Finn Årup Nielsen ( http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010(passive) created bysentiment analysis

Sussex Uni on tweets(passive) led bySentiment analysis

to double - check your individual concepts on how you must goal a key phrase(passive) is designedSentiment Analysis

to answer the question of favor or disfavor(passive) was createdSentiment analysis

as with many AI tasks(passive) is influencedSentiment analysis

When a publicly traded company is mentionedtriggersa " sentiment analysis

the break news headlineshave influencedAccern Sentiment Analysis

Secondly , utilize the resources you have – whether it ’s in - house talent , or free tools , such as Mobileaction.coto createsentiment analysis

hotel reviews written in Spanish(passive) composed bySentiment Analysis

Using Pythonto Createa Sentiment Analysis

which can be considered as a baselineto createsentiment analysis classifiers

additional resources ... as I ’m just startingto discoversentiment analysis

to recognize subjective material and to return said material to the user(passive) is specifically designedSentiment Analysis

various departments and teamscan contributeto sentiment analysis

Analytics Tools Automated Sentiment Analysis business on social media platformsLeadsSentiment Analysis

the ways in which computer mediatedcan influencesentiment analysis

Easier Data Preparation , Write ConnectorsCreateSentiment Analysis

nick.church on Nov 6 , 2013 3:59 PM(passive) Created bySentiment Analysis

custom alertsettingSentiment analysis

as I ’m just beginningto discoversentiment analysis

Crimson Hexagon as part of the package(passive) created bya Sentiment Analysis

To download and examine code click here For this project I joined with a group of four studentsto createSentiment Analysis System

the projectscontributeto Sentiment analysis

the industriesleadingsentiment analysis

of three high level activities [ i(passive) is composedSentiment Analysis

on the other hand(passive) is designedSentiment analysis

a bit of a buzz forhas been creatinga bit of a buzz for

with product / movie reviews in mind ( does person X like product Y ? ) — i.e. , attitude with respect to a particular targetwas ... designedwith product / movie reviews in mind ( does person X like product Y ? ) — i.e. , attitude with respect to a particular target

how other market participants are positioned and/or how likely they are to change their positions in the futureto discoverhow other market participants are positioned and/or how likely they are to change their positions in the future

to improved customer experience ... while 68 % agree that it reduces costs overallleadsto improved customer experience ... while 68 % agree that it reduces costs overall

proactive communication opportunities to save relationships - Selecting a software solution that provides sentiment analysis information at the customer levelcreatesproactive communication opportunities to save relationships - Selecting a software solution that provides sentiment analysis information at the customer level

in increased message effectivenessresultingin increased message effectiveness

opinions , emotions , and feelings about a product or service using natural language processing and text analysisdiscoveropinions , emotions , and feelings about a product or service using natural language processing and text analysis

attitude , opinions and mood of the writercan discoverattitude , opinions and mood of the writer

the variations of user moodto discoverthe variations of user mood

an easy path towards measuring these emotions and identifying individuals that are dissatisfied and the reasons why this may have happenedcreatesan easy path towards measuring these emotions and identifying individuals that are dissatisfied and the reasons why this may have happened

an easy path towards measuring these emotions and identifying individuals that are dissatisfied and the reasons for their malcontentcreatesan easy path towards measuring these emotions and identifying individuals that are dissatisfied and the reasons for their malcontent

area a radiationleadarea a radiation

the context Customers are heavily influenced by peer reviews and hence this data becomes a potential factor for increase or decrease in footfallSettingthe context Customers are heavily influenced by peer reviews and hence this data becomes a potential factor for increase or decrease in footfall

estimations of how positive , neutral , or negative a text iscreatesestimations of how positive , neutral , or negative a text is

someone from spiralling into crisispreventsomeone from spiralling into crisis

who is n’t pulling the purchase triggerto discoverwho is n’t pulling the purchase trigger

an opportunity to mine opinions from big unstructured dataset ... and these results can be used to support decision making in several business applicationscreatesan opportunity to mine opinions from big unstructured dataset ... and these results can be used to support decision making in several business applications

to a popular research areacontributedto a popular research area

whether your audience is talking in a positive , negative or neutral mooddiscoverswhether your audience is talking in a positive , negative or neutral mood

the most frequently used words among positive , negative or neutral tweetscan also discoverthe most frequently used words among positive , negative or neutral tweets

to improved response timeleadingto improved response time

customer strategyinfluencingcustomer strategy

to pinpoint positive and negative comments about a brand and immediately engage with players accordinglydesignedto pinpoint positive and negative comments about a brand and immediately engage with players accordingly

areas that might need intervention by an HR managerdiscoversareas that might need intervention by an HR manager

best - practice approaches that use modern text - mining and predictive analytics techniques to gain insight into consumer opinions and forecast behavioursDiscoverbest - practice approaches that use modern text - mining and predictive analytics techniques to gain insight into consumer opinions and forecast behaviours

that only 15 % of these were rated positive while 52 % were rated negativeto discoverthat only 15 % of these were rated positive while 52 % were rated negative

for Twitter conversations which enables you to get a much clearer picture of feelings towards your branddesignedfor Twitter conversations which enables you to get a much clearer picture of feelings towards your brand

multiple opportunities for capturing customers ’ reactionscreatesmultiple opportunities for capturing customers ’ reactions

waycan leadway

potential take rate for future servicesto discoverpotential take rate for future services

a picture of a brand ’s public perceptionpaintsa picture of a brand ’s public perception

a dataset for sentiment analysisCreatea dataset for sentiment analysis

to minor improvements ... see more details in the comparative study by Daniel Gayo - Avelloleadsto minor improvements ... see more details in the comparative study by Daniel Gayo - Avello

generallywill creategenerally

| Brand Aura blog ← Corruption – public opinion after 2nd prime minsterial debateresults| Brand Aura blog ← Corruption – public opinion after 2nd prime minsterial debate

what customers are saying about your products / serviceto discoverwhat customers are saying about your products / service

the most value when it is used to analyze the relationship between measurable social interactions and business outcomes.[2createsthe most value when it is used to analyze the relationship between measurable social interactions and business outcomes.[2

predictions for all of the above and more problemscan createpredictions for all of the above and more problems

the attitudes of authors of these social media textsto discoverthe attitudes of authors of these social media texts

increasinglywill ... influenceincreasingly

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Smart Reasoning:

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