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Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations

Amita Misra, Mansurul Bhuiyan, Jalal Mahmud, Saurabh Tripathy
2019 Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
We further investigate the results of negation scope detection for the sentiment prediction task on customer service conversation data using both a traditional SVM and a Neural Network.  ...  In this work, we explore the role of negation in customer service interactions, particularly applied to sentiment analysis.  ...  it is in twitter customer service conversations?  ... 
doi:10.18653/v1/w19-1306 dblp:conf/wassa/MisraBMT19 fatcat:jt3wzblbnzadtnpktsgdux235e

Sentiment Analysis Using Text Mining: A Review

Swati Redhu
2018 International Journal on Data Science and Technology  
There is a growing need for developing different methodologies and models for efficiently processing the texts and extracting apt information.  ...  This paper provides an overview of different methods used in text mining and sentiment analysis elaborating on all subtasks.  ...  For text mining and sentiment analysis, the major steps required are data acquirement, data conversion, feature representation, feature extraction and different machine learning algorithms.  ... 
doi:10.11648/j.ijdst.20180402.12 fatcat:eeweilxmenev7oltuzqf3dxwoi

NLP-based platform as a service: a brief review

Sebastião Pais, João Cordeiro, M. Luqman Jamil
2022 Journal of Big Data  
NLP uses a variety of methodologies to interpret the ambiguities in human language, including automatic summarization, part-of-speech tagging, disambiguation, entity and relation extraction, sentiment  ...  Natural language processing (NLP) is a rapidly developing field of artificial intelligence and data science that deals with speech and text processing technologies.  ...  Acknowledgements This work was supported by National Founding from the FCT Fundação para a Ciência e a Tecnologia, through the MOVES Project-PTDC/EEI-AUT/28918/2017, and by Operação Centro-01-0145-FEDER  ... 
doi:10.1186/s40537-022-00603-5 dblp:journals/jbd/PaisCJ22 fatcat:xcgqvsn6fzcglkfbibtonw5qmu

Text Mining in Big Data Analytics

Hossein Hassani, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani, Mohammad Reza Yeganegi
2020 Big Data and Cognitive Computing  
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and  ...  In accordance with this, more than 200 academic journal articles on the subject are included and discussed in this review; the state-of-the-art text mining approaches and techniques used for analyzing  ...  [234] used a multilayer network structure to systematically characterize a social network conversations based on their contents.  ... 
doi:10.3390/bdcc4010001 fatcat:6fvmne7f2fbovjp4na5hl2tmv4

Mapping Consumer Sentiment Towards Wireless Services using Geospatial Twitter Data

Weijie Qi, Rob Procter, Jie Zhang, Weisi Guo
2019 IEEE Access  
In our paper, we focus on evaluating users' opinion on wireless service-related topics by applying natural language processing (NLP) to geo-tagged Twitter data.  ...  Here, we develop a novel wireless service topic-specific sentiment framework, yielding higher targeting accuracy than generalized NLP frameworks.  ...  Conventional word representation models mark words as indices in a vocabulary and assess their property based on statistics, but this may fail to capture the rich relational structure of the lexicon.  ... 
doi:10.1109/access.2019.2935200 fatcat:swa7vwadujfnhmsoz5j26gu3v4

An Enhanced Technique for Analyzing Sentiments of Public Reviews - I

2019 International Journal of Inventive Engineering and Sciences  
Sentiment analysis is the process of extracting the opinion expressed in a piece of text to determine the writer's attitude towards a topic, product or any service in general and classify it into classes  ...  Bag of Words is the traditional approach for text representation in Sentiment Analysis where text is represented as bag of its words.  ...  Hybrid generative/discriminative model for sentiment classification. Hybrid NB/MaxEnt model for text classification.  ... 
doi:10.35940/ijies.d0926.095619 fatcat:impneawuerczjc6dfg2zjwjqaq

A New Ontology-Based Method for Arabic Sentiment Analysis

Safaa M. Khabour, Qasem A. Al-Radaideh, Dheya Mustafa
2022 Big Data and Cognitive Computing  
and judgments in a particular domain.  ...  In this paper, we built a semantic orientation approach for calculating overall polarity from the Arabic subjective texts based on built domain ontology and the available sentiment lexicon.  ...  Pandas offer a Data Frame Object for quick and effective data handling along with integrated indexing; tools capable of reading and writing data between in-memory data structures and various formats such  ... 
doi:10.3390/bdcc6020048 fatcat:tdyo7w5nond7vabiwu66fndptm

Survey on mining subjective data on the web

Mikalai Tsytsarau, Themis Palpanas
2011 Data mining and knowledge discovery  
With the rapid growth of the user-generated content represented in blogs, wikis and Web forums, such an analysis became a useful tool for mining the Web, since it allowed us to capture sentiments and opinions  ...  In the past years we have witnessed Sentiment Analysis and Opinion Mining becoming increasingly popular topics in Information Retrieval and Web data analysis.  ...  Acknowledgements We would like to thank the anonymous reviewers and the editor for their numerous valuable comments, which helped to significantly improve the quality of the content and presentation of  ... 
doi:10.1007/s10618-011-0238-6 fatcat:sdz3ryao7jbixgg3htgpsfp2li

Ontology-based Approach for Identifying the Credibility Domain in Social Big Data [article]

Pornpit Wongthontham, Bilal Abu-Salih
2018 arXiv   pre-print
In other words, we semantically analyse the social data at two levels i.e. the entity level and the domain level. We have chosen Twitter as a social channel challenge for a purpose of concept proof.  ...  A challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academic and industry.  ...  Ontology is an explicit specification of a conceptualisation (Gruber, 1993) . The specification is the representation of the conceptualisations in a concrete form (Stevens, 2001) .  ... 
arXiv:1801.01624v2 fatcat:h74phmtnu5gzhkqjial5urqmrq


Dr. Agusthiyar . R
2022 Zenodo  
on Artificial Intelligence and Data Science (ICAIDS-2022) in association with Object Automation Software Solutions Pvt ltd, IBM, OpenPower, Onstitute and X-Scale Solutions on 4th and 5th March 2022.  ...  SRM IST Ramapuram Campus stands tall for its successful, developed holistic system where the formal education has been intricately woven with moral, spiritual and social education.  ...  These can be used as individual model or hybrid models for higher accuracy and efficiency. In most problems, hybrid models are used. REFERENCES [1] M. Munem I.  ... 
doi:10.5281/zenodo.7024997 fatcat:2v4vxqlfxbgn3dl43zr4y2d26y

The Role of Twitter in the World of Business

Kevin Curran, Kevin O'Hara, Sean O'Brien
2011 International Journal of Business Data Communications and Networking  
The authors present how the business world is using the social network site as a new communication channel to reach customers and examine other possible uses for Twitter in a business context.  ...  However, many find this a daunting prospect as there are no set guidelines as to how business might use the service.  ...  an analytics service which provides a visual representation of clicks, referrals and location data.  ... 
doi:10.4018/jbdcn.2011070101 fatcat:qgge6vwe25h4xdhevakbzntrdm

Sentiment Analysis and Opinion Mining [chapter]

Lei Zhang, Bing Liu
2017 Encyclopedia of Machine Learning and Data Mining  
Each of the opinions is a triple, a sentiment word, a modifier, and a negator. For example, in "not very good", "good" is the sentiment word, "very" is the modifier and "not" is the negator.  ...  Based on this level of analysis, a structured summary of opinions about entities and their aspects can be produced, which turns unstructured text to structured data and can be used for all kinds of qualitative  ... 
doi:10.1007/978-1-4899-7687-1_907 fatcat:iy5ty44cyzbrtodxfo7osy3iu4

Sentiment analysis and classification of Indian farmers' protest using twitter data

Ashwin Sanjay Neogi, Kirti Anilkumar Garg, Ram Krishn Mishra, Yogesh K Dwivedi
2021 International Journal of Information Management Data Insights  
We used models to categorize and analyze the sentiments based on a collection of around 20,000 tweets on the protest.  ...  In this research, we gathered data from the microblogging website Twitter concerning farmers' protest to understand the sentiments that the public shared on an international level.  ...  The DateTime library was incorporated for a customized script which was written to explicitly retrieve 150 tweets per day and used to store them in a python list.  ... 
doi:10.1016/j.jjimei.2021.100019 fatcat:hukpsiy65vgajkhiizmm7dwbz4

Sentiment Analysis on Twitter Dataset using R Language

B. Nagajothi, Dr. R. Jemima Priyadarsini
2019 Zenodo  
two lexicons, one for terms in negated contexts and one for terms in affirmative non negated contexts.  ...  Automatically identifying sentiment expressed in text has a number of applications, including tracking sentiment towards Movie reviews and Automobile reviews improving customer relation models, detecting  ...  The model proposed in the paper utilizes a topic model for aspect extraction and support vector machine learning technique for sentiment classification of textual reviews.  ... 
doi:10.5281/zenodo.3587698 fatcat:kkxkrojfhzebzcbf2ufamxmave


2020 International journal for research in engineering application & management  
- This paper gives a very rudimentary idea about how "DATA" can be effectuate and the immense information can be gained from it which could be engineered by all types of Businesses.  ...  Also, rendition of how a Business Organisation has various hierarchy and designated posts/positions allotted with respect to data science unit along with the software contrivance requirement is highlighted  ...  This is a great structure for training new team members in quickly changing each project each member is working on. Embedded Alternatively it can helpful to use an embedded model.  ... 
doi:10.35291/2454-9150.2020.0397 fatcat:j4fbq4dfnzaidefl2z3t3zr5qm
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