Search Results - "Trueman, Tina Esther"

Gender-based multi-aspect sentiment detection using multilabel learning by Kumar, J. Ashok, Trueman, Tina Esther, Cambria, Erik

“…•Identifies multi-aspect sentiment based on genders in online drug reviews.•Explores different feature representations such as BoW, TFIDF, and GloVe.•Compares…”
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Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit by J, Ashok Kumar, S, Abirami, Trueman, Tina Esther, Cambria, Erik

“…Recently, toxicity identification has become the most serious problem in online communities and social networking sites. Therefore, an automatic toxic…”
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A feedback analyzer system for interval valued responses on cloud services by Trueman, Tina Esther, Narayanasamy, P., Jayaraman, Ashok Kumar

“…Audience feedback measurement system is a highly researched field in the scientific and marketing community. Therefore, it is an important task to know what…”
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Attention-based C-BiLSTM for fake news detection by Trueman, Tina Esther, J., Ashok Kumar, P., Narayanasamy, J., Vidya

“…Social media platforms have radically transformed the creation and dissemination of news. Users can easily access this news in a fast and efficient manner…”
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A Convolutional Stacked Bidirectional LSTM with a Multiplicative Attention Mechanism for Aspect Category and Sentiment Detection by J, Ashok Kumar, Trueman, Tina Esther, Cambria, Erik

“…Traditionally, sentiment analysis is a binary classification task that aims to categorize a piece of text as positive or negative. This approach, however, can…”
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A graph-based method for ranking of cloud service providers by Trueman, Tina Esther, Narayanasamy, P., Ashok Kumar, J.

“…With the advent of cloud computing, more businesses are turning to the cloud for deploying their applications and for infrastructure solutions. Quality of…”
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Stress Identification in Online Social Networks by Kumar, Ashok, Trueman, Tina Esther, Cambria, Erik

“…Online social networks have become one of the primary ways of communication to individuals. It rapidly gen-erates a large volume of textual and non-textual…”
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Fake News Detection Using XLNet Fine-Tuning Model by Kumar J, Ashok, Esther Trueman, Tina, Cambria, Erik

“…In recent years, the traditional way of getting news from a Television, news paper, or national newscast is gone. Today, online social media provides the…”
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Sarcasm Detection in News Headlines using Supervised Learning by Jayaraman, Ashok Kumar, Trueman, Tina Esther, Ananthakrishnan, Gayathri, Mitra, Satanik, Liu, Qian, Cambria, Erik

“…Nowadays, social media has an enormous amount of news content with a sarcastic message. It is often expressed in the form of verbal and non-verbal. In this…”
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An N-gram-Based BERT model for Sentiment Classification Using Movie Reviews by Trueman, Tina Esther, Jayaraman, Ashok Kumar, Cambria, Erik, Ananthakrishnan, Gayathri, Mitra, Satanik

“…An abundance of product reviews and opinions is being produced every day across the internet and other media. Sentiment analysis analyzes those data and…”
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Transformer-Based Bidirectional Encoder Representations for Emotion Detection from Text by J, Ashok Kumar, Cambria, Erik, Trueman, Tina Esther

“…Social media influences internet users to share their sentiments, feelings, or emotions about entities. In particular, sentiment analysis classifies a text…”
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DUSE: A New Benchmark Dataset for Drug User Sentiment Extraction by J, Ashok Kumar, Cambria, Erik, Trueman, Tina Esther

“…Social media continuously produce a huge volume of data in different formats and different domains. In particular, patients' and caregivers' written medical…”
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Online Text-Based Humor Detection by Trueman, Tina Esther, K, Gopi, Kumar J, Ashok

“…Artificial intelligence is replacing humans and their employment in different fields in today's technological environment. Researchers are trying to create…”
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Suicidal Intention Detection in Tweets Using BERT-Based Transformers by Ananthakrishnan, Gayathri, Jayaraman, Ashok Kumar, Trueman, Tina Esther, Mitra, Satanik, K, Abinesh A, Murugappan, Abirami

“…Suicidal intention or ideation detection is one of the evolving research fields in social media. People use this platform to share their thoughts, tendencies,…”
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Multilabel Aspect-Based Sentiment Classification for Abilify Drug User Review by Ashok Kumar, J, Abirami, S, Trueman, Tina Esther

“…Multilabel text classification plays an important role in text mining applications such as sentiment analysis and health informatics. In this paper, we propose…”
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Ensuring Privacy and Data Freshness for Public Auditing of Shared Data in Cloud by Trueman, Tina Esther, Narayanasamy, P.

“…The cloud offers storage services where users can store a huge amount of data. Users are given flexible amounts of storage space along with the certain number…”
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Design of ontology based ubiquitous web for agriculture - A farmer helping system by Shyamaladevi, K., Mirnalinee, T. T., Trueman, T. E., Kaladevi, R.

“…Agriculture census information is a leading source of a country's development. Such information is used by many who provide services to farmers and rural…”
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Semi-supervised document clustering using Seeds affinity propagation and consensus algorithm in multi-domain settings by Radha, R., Mirnalinee, T. T., Trueman, T. E.

“…Domain adaptation is the process of transferring the knowledge to a different domain from a source domain but they are related. In this paper, we first apply…”
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Integration of semantics, sensors and services on the ubiquitous web by Shyamaladevi, K., Mirnalinee, T. T., Trueman, T. E., Kaladevi, R.

“…The human interaction system provides a move from entity and object centric processing to relationship and event centric processing. The computer is interacted…”
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Determining the impact of reviews: In view of temporal pattern and component weight assignment algorithm with SVM by Kohilakanagalakshmi, T., Trueman, T. E., Mirnalinee, T. T.

“…Interpersonal conversation, or word-of-mouth (WOM), is one of the important factors in affecting product sales. WOM can not only increase product awareness…”
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