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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JENNY COLLINS
Grantham, US
★★★★★ 4
Decent Tux but no customer service
Size: XX-Large, Color: Deep Grey
Decent tux for the money. Wish that we could have ordered different sizes for the jacket and the pants. The vest/jacket fits great but the pants were too big. Ended up having to buy separate pants. The add says that if you email them for a different size, they will help you out, but we never heard anything back from our email.
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Reviewed in the United States on November 15, 2025
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Jokenyatta Hampton
Draper, US
★★★★★ 5
Size is right
Size: X-Small, Color: Deep Grey
At first I was afraid the tux wouldn't arrive on time for me to see how it fit my son. Now that is has, I realized I was worried for nothing...it fits perfectly!!!! Just follow the size chart. Thank you so much for this inexpensive option!!!!!
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Reviewed in the United States on May 20, 2026
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jessica
Houston, US
★★★★★ 5
Worth it! Good quality for the price
Size: Large, Color: Black Collar White, Size: Large, Color: Black Collar White
Good quality! My husband loved this tux for our elopement, and it looked great on him. We just steamed out the wrinkles, and it looked flawless.
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Reviewed in the United States on March 7, 2026
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Verified Purchase
jessica thacker
West Palm Beach, US
★★★★★ 5
Great suit
Size: Medium, Color: Black, Size: Medium, Color: Black
Suit fit well no wrinkles upon arrival the quality was great
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Reviewed in the United States on April 10, 2026
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M
Bozeman, US
★★★★★ 4
💜
my 6’4” husband wore this to our wedding. it looked amazing on him 💜 everything fit pretty good except for the jacket part; that was a little big. it may fit someone who weighs a little more but my husband weighs about 165lbs. we had to tailor it a little bit. other than that, very beautiful suit.
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Reviewed in the United States on December 19, 2025

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