Search Results - Information systems Information retrieval Retrieval tasks and goals Sentiment analysis

Mining the Web Data: Intelligent Information Retrieval System for Filtering Spam and Sentiment Analysis by Manek, Asha S, Shenoy, P Deepa

“… This extremely large collection of text documents has made the text analysis now popular field of study and encompasses a wide range of activities, such as sentiment analysis, opinion mining, spam…”
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A Multi-Source Information Retrieval System for Question Answering with Sentiment Analysis and LLM Interpretation by Rawat, Priyanshu, Mehta, Shreshtha, Bajaj, Madhvan, Saklani, Rishabh, Purohit, Karan, Manwal, Manika

“…In the era of ubiquitous digital information, question-answering systems have become indispensable tools for accessing and extracting knowledge from vast datasets…”
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Sentiment analysis for software engineering: how far can we go? by Lin, Bin, Zampetti, Fiorella, Bavota, Gabriele, Di Penta, Massimiliano, Lanza, Michele, Oliveto, Rocco

“…Sentiment analysis has been applied to various software engineering (SE) tasks, such as evaluating app reviews or analyzing developers' emotions in commit messages…”
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Code to Comment "Translation": Data, Metrics, Baselining & Evaluation by Gros, David, Sezhiyan, Hariharan, Devanbu, Prem, Yu, Zhou

“…The relationship of comments to code, and in particular, the task of generating useful comments given the code, has long been of interest…”
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A benchmark study on sentiment analysis for software engineering research by Novielli, Nicole, Girardi, Daniela, Lanubile, Filippo

“…A recent research trend has emerged to identify developers' emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments…”
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Entity-level sentiment analysis of issue comments by Ding, Jin, Sun, Hailong, Wang, Xu, Liu, Xudong

“… However, existing work on emotion mining and sentiment analysis is still in the early stage in software engineering in terms of accuracy, the size of datasets used and the specificity of the analysis…”
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A gold standard for emotion annotation in stack overflow by Novielli, Nicole, Calefato, Fabio, Lanubile, Filippo

“… A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces…”
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A Data-driven Approach for Mining Software Features based on Similar App Descriptions and User Reviews Analysis by Alam, Khubaib Amjad, Ali, Ramsha, Kamran, Zyena, Fatima, Sabeen, Inayat, Irum

“… Determining which features provide a competitive advantage is a complex task, often managed manually by product managers…”
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Sentiment polarity detection for software development by Calefato, Fabio, Lanubile, Filippo, Maiorano, Federico, Novielli, Nicole

“…The role of sentiment analysis is increasingly emerging to study software developers' emotions by mining crowd-generated content within software repositories and information sources…”
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Damage Assessment from Social Media Imagery Data During Disasters by Nguyen, Dat T., Ofli, Ferda, Imran, Muhammad, Mitra, Prasenjit

“… Damage assessment during disasters is a core situational awareness task for many humanitarian organizations that traditionally takes weeks and months…”
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Image4Act: Online Social Media Image Processing for Disaster Response by Alam, Firoj, Imran, Muhammad, Ofli, Ferda

“…We present an end-to-end social media image processing system called Image4Act. The system aims at collecting, denoising, and classifying imagery content posted…”
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Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting? by Novielli, Nicole, Calefato, Fabio, Dongiovanni, Davide, Girardi, Daniela, Lanubile, Filippo

“…In this paper, we address the problem of using sentiment analysis tools 'off-the-shelf', that is when a gold standard is not available for retraining…”
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Fire emergency response systems information requirements' data model for situational awareness of responders: A goal-directed task analysis by Rezaeifam, Sanam, Ergen, Esin, Günaydın, Hüsnü Murat

“… This paper uses Goal-Directed Task Analysis (GDTA) to define fire emergency responders' SA Goals, Decisions, and Information (GDI) requirements…”
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Improved Stance Prediction in a User Similarity Feature Space by Darwish, Kareem, Magdy, Walid, Zanouda, Tahar

“…Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances. Earlier work has shown…”
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Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews by Kumar, Sandeep, Ghosal, Tirthankar, Bharti, Prabhat Kumar, Ekbal, Asif

“… With the rise in research paper submissions, the current peer-review system is experiencing an unprecedented information overload…”
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A Deep Neural Architecture for Decision-Aware Meta-Review Generation by Kumar, Asheesh, Ghosal, Tirthankar, Ekbal, Asif

“…Automatically generating meta-reviews from peer-reviews is a new and challenging task…”
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Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation by Hai, Nam Le, Bui, Nghi D. Q.

“…Code comments provide important information for understanding the source code. They can help developers understand the overall purpose of a function or class, as well as identify bugs and technical debt…”
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A Comparative Analysis of Article Recommendation Platforms by Alchokr, Rand, Kruger, Jacob, Saake, Gunter, Leich, Thomas

“…Even though it is a controversial matter, research (e.g., publications, projects, researchers) is regularly evaluated based on some form of scientific impact…”
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Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models by Imran, Mia Mohammad

“… This paper presents a comparative analysis of state-of-the-art Pretrained Language Models (PTMs) for fine-grained emotion classification on two benchmark datasets…”
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Towards A Reliable Ground-Truth For Biased Language Detection by Spinde, Timo, Krieger, David, Plank, Manuel, Gipp, Bela

“…Reference texts such as encyclopedias and news articles can manifest biased language when objective reporting is substituted by subjective writing. Existing…”
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