SKU: 52649492696

Opinion Mining for Software Development

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Description

Opinion Mining for Software DevelopmentOpinion mining, which uses computational methods to extract opinions and sentiments from natural language texts, can be applied to various software engineering (SE) tasks. For example, developers can mine user feedback from mobile app reviews to understand how to improve their products, and software team leaders can assess developers' mood and emotions by mining communication logs or commit messages. Also, the growing popularity of technical Q&A

Opinion mining, which uses computational methods to extract opinions and sentiments from natural language texts, can be applied to various software engineering (SE) tasks. For example, developers can mine user feedback from mobile app reviews to understand how to improve their products, and software team leaders can assess developers' mood and emotions by mining communication logs or commit messages. Also, the growing popularity of technical Q&A websites (e.g., Stack Overflow) and code-sharing platforms (e.g., GitHub) made available a plethora of information that can be mined to collect opinions of experienced developers (e.g., what they think about a specific software library). The latter can be used to assist software design decisions.

However, such a task is far from trivial due to three main reasons: First, the amount of information available online is huge; second, opinions are often embedded in unstructured data; and third, recent studies have indicated that opinion mining tools provide unreliable results when used out-of-the-box in the SE domain, since they are not designed to process SE datasets.

Despite all these challenges, we believe mining opinions from online resources enables developers to access peers' expertise with ease. The knowledge embedded in these opinions, once converted into actionable items, can facilitate software development activities.

We first investigated the feasibility of using state-of-the-art sentiment analysis tools to identify sentiment polarity in the software context. We also examined whether customizing a neural network model with SE data can improve its performance of sentiment polarity prediction. Based on the findings of these studies, we proposed a novel approach for recommending APIs with rationales by mining opinions from Q&A websites to support software design decisions. On the one hand, we shed light on the limitations researchers face when applying existing opinion mining techniques in SE context. On the other hand, we illustrate the promise of mining opinions from online resources to support software development activities.

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SKU: 52649492696

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Steven R Franceschi
Dallas, US
★★★★★ 5
Looks great.
Love the look. Took a bit to put it together. The only negative was putting on the back with the tack nails. There was no way to see if you were hitting the board so I missed it about 1/3 of the time. Might be better to use wood glue and forget using the nails.
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Reviewed in the United States on February 18, 2026
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Mcglinnen
Fort Morgan, US
★★★★★ 5
Perfect for a small bathroom
Nice cabinet for the bathroom. I have a 120-year-old house with small bathrooms; this doubled the cabinet space; the white keeps the room visually larger. I'd like to add the instructions are awesome: no verbiage just step by step diagrams. Each hole drilled and ready, as well as pilot hole where the screws will be received. Each piece labeled. The instructions have in the listings the count of pieces with a notation of extra screws, so you don't think you "screwed up" when you're done. One note: as the shelves are part of the construction, they are not adjustable, in my case not a big deal.
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Reviewed in the United States on November 17, 2025
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Eric
Fort Morgan, US
★★★★★ 4
Decent product, you get what you pay for
Easy to put together and good price, fit the space we had perfectly. Cheap material, but you shouldn't be surprised considering the price. I saw another review commenting on the difficulty lining up the nails for the back. Wish I would have read it before the assembly as the nails popped through the front side and I had to knock them back and repaint the spots. The directions don't state which size drill bit to use for the wall anchors, but 5/16" worked well. Overall, not great but not terrible either.
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Reviewed in the United States on March 22, 2026
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Manijehmalek
Lake Worth, US
★★★★★ 3
Equipment was not helpful
There was so many scratch on the item. I cover them with calk but it is very cute
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Reviewed in the United States on September 30, 2025
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Amazon Customer
Port Orchard, US
★★★★★ 5
Medicine Cabinet
Great product easy to put together Looking great on the wall
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Reviewed in the United States on January 27, 2026

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