Listar UNIR REVISTAS por tema 

ListarUNIR REVISTAS por tema "sentiment analysis"

Mostrando ítems 1-8 de 8

    • An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators 

      Chen, Chun-Hao; Chen, Po-Yeh; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In the financial market, predicting stock trends based on stock market news is a challenging task, and researchers are devoted to developing forecasting models. From the existing literature, the performance of the forecasting ...

    • Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN 

      Huddar, Mahesh G.; Sannakki, Sanjeev S.; Rajpurohit, Vijay S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The availability of an enormous quantity of multimodal data and its widespread applications, automatic sentiment analysis and emotion classification in the conversation has become an interesting research topic among the ...

    • Automatic Irony Detection using Feature Fusion and Ensemble Classifier 

      Harish, B S; Kumar, Keerthi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...

    • Building Phrase Polarity Lexicons for Sentiment Analysis 

      Dehkharghani, Rahim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Many approaches to sentiment analysis benefit from polarity lexicons. Most polarity lexicons include a list of polar (positive/negative) words, and sentiment analysis systems attempt to capture the occurrence of those words ...

    • Emotion-Aware Monitoring of Users’ Reaction With a Multi-Perspective Analysis of Long- and Short-Term Topics on Twitter 

      Cavaliere, Danilo; Fenza, Giuseppe; Loia, Vincenzo; Nota, Francesco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Social networks, such as Twitter, play like a disinformation spread booster giving the chance to individuals and organizations to influence users’ beliefs on purpose through tweets causing destabilization effects to the ...

    • OpinAIS: An Artificial Immune System-based Framework for Opinion Mining 

      Baldominos, Alejandro; Luis Mingueza, Nerea; García del Pozo, Mª Cristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial ...

    • Sentiment Analysis and Classification of Hotel Opinions in Twitter With the Transformer Architecture 

      Arroni, Sergio; Galán, Yerai; Guzmán-Guzmán, Xiomarah; Nuñez-Valdez, Edward Rolando; Gómez, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Sentiment analysis is of great importance to parties who are interested is analyzing the public opinion in social networks. In recent years, deep learning, and particularly, the attention-based architecture, has taken over ...

    • Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method 

      Harish, B S; Kumar, Keerthi; Darshan, H K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Social Networking sites have become popular and common places for sharing wide range of emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc. Analyzing short texts helps in identifying ...