Results 1 to 10 of about 4,688 (110)

Sentiment classification of Chinese Weibo based on extended sentiment dictionary and organisational structure of comments

Connection Science, 2022
Sentiment classification can provide the decision support of social applications such as trend judgment, public opinion monitoring, etc. However, the accuracy of sentiment classification for Chinese Weibo is still not satisfactory due to the complexity ...
Shunxiang Zhang, Wei Zhongliang, Meng-Yen Hsieh   +2 more
exaly   +2 more sources

Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary

IEEE Access, 2019
The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words.
Yueting Meng, Guixian Xu, Ziheng Yu
exaly   +3 more sources

A Study of the Application of Weight Distributing Method Combining Sentiment Dictionary and TF-IDF for Text Sentiment Analysis

IEEE Access, 2022
The most commonly used methods in text sentiment analysis are rule-based sentiment dictionary and machine learning, with the later referring to the use of vectors to represent text followed by the use of machine learning to classify the vectors.
Xiaoxiao Liu, Xi Chen
exaly   +3 more sources

Chinese Micro-Blog Sentiment Analysis Based on Multiple Sentiment Dictionaries and Semantic Rule Sets

IEEE Access, 2019
Sentiment analysis of Chinese micro-blog based on sentiment dictionary has become a challenging research subject in the field of artificial intelligence.
Shuzhi Su, Kui Lu, Jiesheng Wu
exaly   +3 more sources

Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies [PDF]

Frontiers in Big Data
Small and Medium-sized Enterprises (SMEs) increasingly rely on social media to engage customers, promote products, and enhance workplace collaboration.
Heru Susanto, Heru Susanto, Heru Susanto, Aida Sari Omar, Aida Sari Omar, Alifya Kayla Shafa Susanto, Alifya Kayla Shafa Susanto, Desi Setiana, Leu Fang-Yie, Junaid M. Shaikh, Asep Insani, Uus Khusni, Rachmat Hidayat, Akbari Indra Basuki, Iwan Setiawan   +14 more
doaj   +2 more sources

Naturalistic Online Language as a Marker of Depression in Midlife and Older Adults: Computational Text Analysis of Bluesky and Reddit Posts [PDF]

Journal of Medical Internet Research
BackgroundSocial media use among older adults continues to grow. Many people use social media to establish meaningful social ties and discuss their mental health.
Lauren Rutter, Andy Edinger, Marijn ten Thij, Lorenzo Lorenzo-Luaces, Danny Valdez, Johan Bollen   +5 more
doaj   +2 more sources

Brand public opinion data analysis method based on deep learning. [PDF]

PLoS ONE
With the rapid development of Internet information technology and digital technology, various network platforms and media are showing a vigorous growth momentum.
Min Li, Wonjun Chung
doaj   +2 more sources

Fine-grained Sentiment Analysis Based on Combination of Attention and Gated Mechanism [PDF]

Jisuanji kexue, 2021
The fine-grained sentiment analysis is one of the key problems in the area of natural language processing.By learning contextual information of the text to conduct sentiment analysis on specific aspects,it can help users and businesses to better ...
ZHANG Jin, DUAN Li-guo, LI Ai-ping, HAO Xiao-yan
doaj   +1 more source

Sentiment Analysis of Social Networking Data Using Categorized Dictionary [PDF]

Journal of Information Technology Management, 2020
Sentiment analysis is the process of analyzing a person’s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task.
Akansha Singh, Aastha Sharma, Krishna Singh, Anuradha Dhull   +3 more
doaj   +1 more source

Sentiment Analysis of German Texts in Finance: Improving and Testing the BPW Dictionary

Journal of Banking and Financial Economics, 2021
Using the dictionary-based approach to measure the sentiment of finance-related texts is primarily focused on English-speaking content. This is due to the need for domain-specific dictionaries and the primary availability of those in English.
Matthias Pöferlein
doaj   +1 more source