slides de présentation de la technologie verbatix de datops

8/4/2019 Slides de prsentation de la technologie Verbatix de Datops

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Media & Business Intelligence

Verbatix

Automatedanalysis of consumer transcripts

Datops Technologies


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Automated Analysis of Consumer TranscriptsInputs - Capture of transcripts on audio channels

VERBATIX : INPUTS---

Capture of transcripts on audio channels

dmo


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The transcript is captureddirectly on the Call Centres

audio channels.

The voice recognitiontechnology uses the most

reliable possible identification ofthe essential elements of thespeech


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Two main qualities to preserve inthe customers feedback :

ContextReliability/spontaneity

One of the principal qualitieswhich must be kept by content

analysis is the richness andspontaneity of the consumer

feedback.

The tools must preserve the

original content of the transcripts

as much as possible withoutreduction or simplification. The

high resulting quality thus makes itpossible to use this analysis as a

complementary tool to your usual

customer surveys.


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Two main qualities to preserve inthe customers feedback :

ContextReliability/spontaneity

Semantic Network :Building associations(associations of idea orqualitative relationships)

according the consumertranscripts, in aspontaneous way(yellow color)

Semantic Network :Linking the currentconsumer transcripts

to the existingSemantic database

(Blue color)



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Automated Analysis of Consumer TranscriptsOutputs - Content analysis of consumer transcripts

VERBATIX : OUTPUTS---

Content analysis of consumertranscripts

Precise understanding ofconsumers likes and dislikes

Detection and follow-up of trendsand weak signals for marketing

purposes


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from Insightsto Outsights

Analysis ofconsumer

insights and

identification ofpositive andnegative

consensus

A table with two entries (a matrix) :

columns :consumers

lines :items

Coloured tonality scale : from the mostpositive

(green) to the most negative (red) through the

neutral (yellow).White colour means the consumer

hasnt quoted the item.

Statistical and logical processing :

to highlight

ConsensusAnd

Dissensus

Semantic network

The Aim

Tone measurement

See

OUTPUTSMatrix of ConsensusProduct/Brand ProfilesMental connections

from Insightsto Outsights

Analyse of

consumerinsights and

identification ofpositive and

negative

consensus

The Aim


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Core Technologies

Tone measurementTonality is processed in several steps :

1- The first step relates to the treatment of the

documents published over a given period andincludes:

Detection ofwords or compound patternscomprising various positive or negative levels of

connotation (among approximately 15000

elements).Determination of the zone of influence of theseconnotations (within the sentence).

Application of linguistic rules correcting theambiguous forms (negative sentences,

conditional sentences)Identification of the proper names to whichdoes impact the connotation.

2- The second step thus determines a averaged tonefor each proper name (example: brand name), thus ameasurement of the global tonality of the documents

(corresponding for example to the global context of the

brand name in consumer transcripts).

Examples of words or compound terms :

Profit warning -3Recover 1Recover damage -2

Examples of rules :

Increase, reduction in the tonality forlinguistic forms such as: despite, boost,

slightly.Cancellation of opposite tonality


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Analysis ofconsumerinsights andidentification

of positiveand negative

consensus

Positive Consensus

Negative Consensus

Dissensus

from Insights to Outsights

Matrix of Consensus


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Qualitative analysis of the image components of brand or product


Product / Brand Profiles

positive

negative

Consensus %

NUTRISSE GARNIER NATEA

Product

global profileProductdetailed profileEXCELLENCE CREME

positive

negative

Consensus %

Product

global profileProductdetailed profile


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Technologies for consumer verbatim analysisOutputs - Content analysis of consumer verbatim

Benchmark of brands or products


Product / Brand Profiles

positive

negative

Benchmark of several

products globalprofiles


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Psychologicalconnections

revealed


Psychological connections

Negative connections

Positive Connections

These Maps are displayed by a FactorAnalysis : a projection of the semantic

network of positive consensus is doneon the most representative plan

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