SOSYAL MEDYA ANALİTİĞİ İLE DEĞER YARATMA: DUYGU ANALİZİ İLE GELECEĞE YÖNELİM

Abstract

Müşterisi sosyal medya kullanıcıları olan işletmelerin bu kanallardan ürünleri hakkında yazılan iletileri toplayıp analiz etme, bunları satış rakamları ile karşılaştırma veya ilişkilendirme, gelecek için stratejiler geliştirme gibi imkanları vardır. Bu çalışmada uygulanan yöntem ile bir televizyon kanalına ait seyirci görüşlerinin sosyal medya üzerinden derlenerek kanal için faydalı bilgi elde edilmesi ve bu bilgilerin kanal için bir karar destek unsuru olması hedeflenmiştir. Bu amaçla bir TV kanalında yayınlanan programlar hakkında Kasım - Haziran 2017 tarihleri arasında Twitter’dan paylaşılan iletiler derlenmiş, duygu analizi tekniği ile her ileti pozitif, negatif ya da nötr olarak etiketlenmiştir. Bu periyoddaki yayın akışındaki tüm programlar için kaç pozitif, kaç negatif ve kaç nötr tweet atıldığı bilgilerine bağlı olarak reyting değeri incelenmiştir.

Keywords

• Duygu analizi,sosyal medya analitiği,regresyon analizi

SOCIAL MEDIA ANALYTICS: VALUE CREATION WITH SENTIMENT ANALYSIS

Abstract

Businesses with customers who are users of social media, have the option of collecting and analyzing data from social media, comparing or correlating them with sales figures, and developing strategies for the future. By using the method applied in this study, it is aimed to obtain beneficial information for the channel by compiling the views of spectators belonging to a television channel through social media. Also, the study will provide a decision support tool for the channel. For this purpose, Twitter is chosen as social media channel and tweets which are about programs broadcast on a TV channel, were compiled from November 2016 to June 2017. Each tweet is labeled as positive, negative, or neutral by a novel sentiment analysis method. Then, for all programs in this period, the rating was examined based on positive, negative and neutral tweets. 

Keywords

• Sentiment analysis,social media analytics,regression analysis

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