PREDIKCIJA POPULARNOSTI OBJAVA NA SAJTU 9GAG KORIŠĆENJEM MULTIMODALNIH PODATAKA SA FOKUSOM NA TEKSTUALNE PODATKE
Ključne reči:
Analiza sentimenta, obrada teksta, predikcija popularnosti
Apstrakt
Predikcija popularnosti objava na sajtu 9gag bi mogla da bude od značaja za prepoznavanje i analizu faktora koji su bitni kod popularnosti sadržaja na društvenim mrežama. Ova istraživanja mogu biti korisna pre svega za oblast marketinga. U ovom radu predstavljena je arhitektura sistema za predikciju popularnosti objava. Fokus je bio na analizi onih elemenata objava koje se tiču teksta objave (komentara, naslova,...). Isprobana su dva načina, od prvi predstavlja testiranje više različitih klasifikatora, a drugi stekovanje klasifikatora. Na kraju su predstavljeni i analizirani rezultati, a predložena su i dalja unapređenja sistema.
Reference
[1] 9gag - https://9gag.com/
[2] MEGHAWAT, Mayank, et al. A multimodal approach to predict social media popularity. In: 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2018. p. 190-195.
[3] SMP-T1 in ACM Multimedia Grand Challenge. https://social-media-prediction.github.io/MM17PredictionChallenge/leaderboard.html, 2017
[4] MAZLOOM, Masoud, et al. Multimodal popularity prediction of brand-related social media posts. In: Proceedings of the 24th ACM international conference on Multimedia. 2016. p. 197-201.
[5] Stanford Core NLP - https://stanfordnlp.github.io/CoreNLP/
[6] TERENTIEV, Andrei; TEMPEST, Alanna. Predicting Reddit Post Popularity Via Initial Commentary. nd): n. pag, 2014.
[7] Kitayama, Kotaro et al. “Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model.” ALTA (2020).
[8] DEVLIN, Jacob, et al. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805, 2018.
[2] MEGHAWAT, Mayank, et al. A multimodal approach to predict social media popularity. In: 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2018. p. 190-195.
[3] SMP-T1 in ACM Multimedia Grand Challenge. https://social-media-prediction.github.io/MM17PredictionChallenge/leaderboard.html, 2017
[4] MAZLOOM, Masoud, et al. Multimodal popularity prediction of brand-related social media posts. In: Proceedings of the 24th ACM international conference on Multimedia. 2016. p. 197-201.
[5] Stanford Core NLP - https://stanfordnlp.github.io/CoreNLP/
[6] TERENTIEV, Andrei; TEMPEST, Alanna. Predicting Reddit Post Popularity Via Initial Commentary. nd): n. pag, 2014.
[7] Kitayama, Kotaro et al. “Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model.” ALTA (2020).
[8] DEVLIN, Jacob, et al. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805, 2018.
Objavljeno
2022-02-04
Sekcija
Elektrotehničko i računarsko inženjerstvo
