Slow Fashion as a Communication Strategy of Fashion Brands on Instagram

Fashion Conversation Data on Instagram

The fashion industry is establishing its presence on a number of visual-centric social media like Instagram. This creates an interesting clash as fashion brands that have traditionally practiced highly creative and editorialized image marketing now have to engage with people on the platform that epitomizes impromptu, realtime conversation. What kinds of fashion images do brands and individuals ...

The Bedrock of Internet Fashion Brands

Fashioning Data - A Social Media Perspective on Fast Fashion Brands

In this paper, we study the performance of N-gram language models on classification tasks such as sentiment analysis and spam detection and evaluate the effect of prior probability estimates on the results. Our data is in the form of public online posts pertaining to fast fashion brands, from different social media channels (Twitter and Facebook). We propose a novel ensemble model based on the ...

A Sentiment Analysis Tool for Determining the Promotional Success of Fashion Images on Instagram

Sentiment Analysis (SA) or Opinion Mining is the process of analysing natural language texts to detect an emotion or a pattern of emotions towards a certain product to make a decision about that product. SA is a topic of text mining, Natural Language Processing (NLP) and web mining disciplines. Research in SA is currently at its peak given the amount of data generated from social media networks...

Dynamic Categorization of Semantics of Fashion Language: A Memetic Approach

Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...