Bayanan Bayanai ga Wanda ya Ci Kasuwancin Super Bowl mai ban mamaki

Farcio tabawa

Kasuwancin Super Bowl mafi inganci bazai zama waɗanda kuke tunani ba. Duk da yake ikonmu na tattara bayanai yana ƙaruwa, ƙwarewarmu don fahimtar bayanai yana ci gaba. A Fascio, ƙungiyar masana kimiyyar bayanai sunyi zurfin bincike akan ayyukan Twitter yayin Super Bowl kuma sun gano cewa shahararrun tallan ba lallai bane waɗanda suke samun kyakkyawan sakamako. Hakanan, a ƙarshen wannan labarin shine ra'ayi game da bayanan mu!

Hasashenmu

Hanyoyin motsin rai mara kyau suna haifar da ƙarin ƙarfi, amma motsin zuciyar kirki yana haifar da ƙarin aiki.

Yawancin mutane a yanzu sun saba da sanannen talla na wideasar gaba ɗaya inda suke kashe kidan yaro a ƙarshe. Wannan yanke hukunci mai ban tsoro da rashin gamsuwa ya haifar da babbar fashewa da martani a shafukan sada zumunta. Yawancin kamfanonin talla sun riga sun saki mafi yawan tweeted sakamakon da ke nuna duk kasar a matsayin mai nasara, amma mun kasance masu shakka.

Tunaninmu shine yayin da martani mara kyau ya haifar da tweets da yawa, mai yiwuwa ba irin ayyukan da ake buƙata a wideasar yake so ba. A ƙarshe, tabbas Microsoft ne lashe kafofin watsa labarun a lokacin Super Bowl.

Yadda nazarin ya gudana

  • Da farko dai, akwai fiye da 28.4 miliyan na tweets na duniya yayin wasan. Sabbin ingest ɗin mu sun kama kusan miliyan 9 daga waɗanda suke wannan binciken. Muna tsammanin wannan kyakkyawan samfurin samfurin ne, game da 32%.
  • The Fascio karatu ya bambanta da kowa saboda akwai samfuran sa daga DUK tweets, kuma ba wai kawai waɗanda aka ɗaura su da asusun masu talla ba. Wannan yana nufin muna da ƙarin bayani fiye da abin da zaku iya cirewa daga Twitter API.
  • Mun cire bayanai daga tweets ta hanyoyi biyu, ta amfani da duka harshe na ainihi kazalika kai tsaye @ official Twitter ambaci. Misali, gwada duk tweets da mcdonald dace da kowane nau'i (w / o babban adadin ko jam'i) da @McDonalds.
  • Mun gudanar da duk tweets ta hanyar wani abu da aka sani da tantance tunani wanda ke amfani da algorithms don ƙayyade idan tweet tabbatacce ne ko mara kyau (Polarity), kazalika da gaskiya ko ra'ayi (Subjectivity).
  • Mun tattara mafi yawan _____ jerin don mafi yawan tweeted, mafi yawan kwaikwayo, Da kuma mafi yawan matsakaita.
  • Karkashin kowane mafi abu, mun lissafa manyan jerin retweets guda 10 don haka muna iya gani ta ido yadda zirga-zirgar kowane abu yake kama.

Lambobin Raw - Alamu ta --ara

Nunin A - Nuna mafi yawan tweets a cikin yaren halitta

Nunin A - Nuna mafi yawan tweets a cikin “yare na asali”

A cikin Nunin A, da farko muna so mu lura cewa McDonalds won akan tsafta mai kyau. Koyaya, masana kimiyyar bayanan mu sun lura cewa shiga cikin Super Bowl, McDonalds ya riga ya sami cunkoson ababen hawa da gaske.

Don haka daidaitawa don layin tushe na wasan kafin wasa, ana iya kidaya wideasar gaba ɗaya azaman wanda ya ci nasara daga kasuwancin su.

Hakanan a Nunin A zaka iya ganin cewa kusa da Nationasar gaba ɗaya shine Skittles, Pepsi, da Doritos. Microsoft hakika yana nesa da jerin, saboda haka kuna iya mamakin wannan lokacin; me yasa zamuyi tunanin Microsoft yayi nasara? To, hakane saboda akwai katsewa tsakanin yadda mutane suke magana, da yadda hanyoyin sadarwa suke.

Agementaddamarwa da Chatter

Domin kasuwanci ya juya tweet zuwa wani abu mai tabbaci, dole ne a sami wani irin abu. Don Twitter, mafi bayyane ayyukan sune:

  • Sake yin wani abu
  • Bi asusun kasuwanci
  • Danna mahadar a cikin tweet

Don haka mun sake duba bayanan don ganin wanene yafi samu ayyuka daga muryar su ta Twitter kuma manyan 5 sune:

Don haka a nan kuna ganin Microsoft ya riga ya fi kyau fiye da wideasar gaba ɗaya don samun mafi yawan ayyuka. Har ila yau, mun bincika manyan URLs a cikin rafukan Twitter, kuma Microsoft yana da mafi yawan hanyoyin da za su koma yankunansu. Amma yaya game da jin dadi? Wanene ya fi samun soyayya a Twitter?

Tabbatacce vs. Zuciya mara kyau

A Nunin B - Lissafi da manyan binciken harshe na asali an zana su gwargwadon iya magana (tabbatacce ko mara kyau) da kuma batun (gaskiya ko ra'ayi).


A Nunin B - Lissafi da manyan binciken harshe na asali an zana su gwargwadon iya magana (tabbatacce ko mara kyau) da kuma batun (gaskiya ko ra'ayi).

A cikin Nunin B, zaku iya ganin duk abubuwan da muke da su @cocounts da kuma manyan binciken harshe na asali da aka zana bisa ga daidaito (tabbatacce ko mara kyau) da kuma batun (gaskiya ko ra'ayi). Mafi kyawun alamun sun kasance @skechersusa, @bmw, Da kuma @bbchausa. Abubuwan da muka fi sani sune asirin victorias, t-mobile, kuma babu mamaki a duk fadin duniya. Don haka a bayyane za ku ga cewa yawancin zirga-zirga na duk ƙasar ba su da kyau.

Don samun babban ƙarfi, McDonalds da Microsoft sune saman saman. Wannan yana nufin ba kawai suna samun yawan zirga-zirga ba ne, amma tattaunawar galibi tabbatacciya ce.

Kunsa shi

Don haka idan ka ƙara duka duka, Microsoft shine kawai babban mai fafatawa yin kyau a kan dukkan ma'auni guda uku: girma, aiki, da tunani.

Tabbas, kuma muna son wannan ya zama a fili, yayin da muke tunanin Microsoft ya ci gasar cinikayyar Super Bowl; McDonalds ya bayyana cin nasarar kafofin watsa labarun, koyaushe.

Caveats da Trivia

  • Duk da yake mun ja tweets da yawa, ba DUKAN su bane. Wasu daga cikin waɗannan bayanan na iya canzawa idan muna duban 100%.
  • Sauran kafofin sun sanya Budweiser a saman jerin, kuma ba za mu iya samun dalilin hakan ba. Ba mu san dalilin da ya sa bambancin ba, amma muna so mu yarda da shi.
  • Layinmu na yau da kullun don McDonalds ba a sanya shi cikin abubuwan da muke gani ba saboda ba mu da tushe ga kowa. McDonalds kawai ya nuna girma babba bayyanannen buzz yana shiga wasan dole ne mu sanya shi cikin yanke shawara.
  • @rariyajarida da kuma @bbchausa suna da mafi yawan masu sauraro tare da tweets dinsu suna ganin abubuwan da suka fi birge-ta-tweet.
  • Ba mu kama ba #LikeAGirl wanda ya kasance sanannen hashtag (munanan). Koyaya, sauran karatun sun nuna har yanzu bai kai ga tasirin tasirin sakamakonmu ba.

Game da Perscio

Fascio abokin kasuwancin ku ne ya mai da hankali kan ƙirƙirar damar Babban Bayanai. Uniquewarewarmu ta musamman tana ba mu damar haɓaka rata tsakanin duniyar fasaha ta Big Data da ɓangarorin amfani da dabarun kasuwanci. Muna aiki tare da ku don ayyana dabarun, zaɓi kayayyaki, aiwatar da mafita da haɓaka ƙwarewar ƙungiya don nazari da hango bayanai. Ara koyo kuma zazzage jaridar mu, Akwai Babban Duniyar Bayanai A Waje.

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