Dupuis and his colleagues A survey was done to determine the personality traits of individuals who are prone to post picture memes with false information. Researchers have only recently started looking into how visual memes and online users interact. Memes are gradually affecting social media and consuming the general public’s feed. This section compares and contrasts studies that used movie posters to categorize genres and those that did not. Much research has attempted to categorize film genres from image posters using machine learning and deep learning. The paper is concluded in the last section. Experimental results and discussion of the proposed method are described in Section IV. Section III explains the proposed method. Section II briefly describes the background of the meme method and image captioning models. The rest of this paper is organized as follows. Conceptual diagram for the proposed memes method. The experiment and findings section that follows defines the actual user input that was evaluated, and the conclusion and future work section that follows makes conclusions and points in the right path.įigure 3. The approaches utilized to construct machine learning-based memes were detailed in the Approach section. The picture caption model, the recurrent neural network for the language modeling challenge, and the RNN’s attention mechanism in the associated task were all discussed in the following part. The suggested system is depicted in Figure 3 is a conceptual diagram. We received 37 replies from over six different nations to determine the meme’s quality and humor: South Korea, Pakistan, Nepal, Bangladesh, Saudi Arabia, and Vietnam. A CNN image embedding machine learning method was utilized in the first step of the picture caption system, followed by an LSTM RNN for meme production. No, the dataset is available for meme generation therefore, we created a dataset with meme labels that can be used to create amusing memes for people of all cultures, genders, and ages. In this research, a new technique for creating memes with a witty caption is devised. Memes in the image-with-captions category are created utilizing a variety of machine learning algorithms. Memes are spread through a consensual, peer-to-peer mechanism rather than by force. Most Internet memes spread quickly, earning the term “viral script” nevertheless, certain memes have been observed to go in and out of favor only a few times. Memes evolve as a result of observation, imitation, or parody, or even a connected update in other broadcasting. Memes, to put it simply, are private jokes or snippets of current underground information that a large number of people are aware of. Images, news, video clips, and catchphrases are the most commonly shared types of material. Most memes are spread among internet users via social media sites, email, instant messaging systems such as WhatsApp, forums, and blogs. 8 The difficulty of distinguishing the underlying cultural meme from its different expressions in internet information is a problem with this area of research. Google trends of the memes since 2010.Ĭomprehending the mutations that are responsible for speeding or slowing the popularity of a meme can be influential in content creation and understanding the cultural makeup of online communities because many memes exist in the social network that persists by adjusting frequently. 2–7 These phenomena can sometimes extend globally, with a different topic and meaning in each culture.įigure 2. A meme, according to social media networks, is an idea that spreads from one person to another within the same society. Because of its popularity among the younger generations, the graph of meme searches in Google trends is rapidly growing. As demonstrated in Figure 2 data acquired from Google Insights reflects relative search frequencies and does not allow for gauging absolute public interest in a topic. The data is normalized in such a way that the peak search activity for a query is scaled to a value of 100, although Google Insights never shows total search counts. Overall statistics from throughout the world are recovered in this study. Google Insight gives weekly summaries based on how often a term/query has been searched/used since January 1st, 2004, and enables geographic and category filtering. When users type a query into the Google search bar, Google Insight is likely to show overall data on the terms that have been input by users for that query. 1 Memes are one of the most popular forms of media among social media users. It is critical to determine whether pictures and media are transmitted through word of mouth. Many factors can influence popularity when posting media to the Internet, including the time of day, the day of the week the user submitted the media, and the title used in the video. The sample of one of the popular copies of the ‘Drake’ meme on social media platforms.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |