In recent years, it has become increasingly important to the consumer to read up on a product, business, or service before spending any money. In 2021, nearly ** percent of online shoppers typically read between *** and *** customer reviews before making a purchasing decision. Less than *** in *** shoppers did not have a habit of reading customer reviews before buying.

This statistic illustrates the share of American internet users who checked restaurant information (reviews, reservations, etc.) online in the last month in 2018, by age. In that year, 42.34 percent of respondents aged 18 to 29 years stated that they checked restaurant information (reviews, reservations, etc.) online in the last month.

Context

This Dataset is an updated version of the Amazon review dataset released in 2014. As in the previous version, this dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs). In addition, this version provides the following features:

• More reviews:

  • The total number of reviews is 233.1 million (142.8 million in 2014).

• New reviews:

  • Current data includes reviews in the range May 1996 - Oct 2018.

• Metadata: - We have added transaction metadata for each review shown on the review page.

  • Added more detailed metadata of the product landing page.

Acknowledgements

If you publish articles based on this dataset, please cite the following paper:

• Jianmo Ni, Jiacheng Li, Julian McAuley. Justifying recommendations using distantly-labeled reviews and fined-grained aspects. EMNLP, 2019.

Utilize our Amazon reviews dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset can aid in understanding customer behavior, product performance, and market trends, empowering organizations to refine their product and marketing strategies. Access the entire dataset or tailor a subset to fit your requirements. Popular use cases include: Product Performance Analysis: Analyze Amazon reviews to assess product performance, uncovering customer satisfaction levels, common issues, and highly praised features to inform product improvements and marketing messages. Customer Behavior Insights: Gain insights into customer behavior, purchasing patterns, and preferences, enabling more personalized marketing and product recommendations. Demand Forecasting: Leverage Amazon reviews to predict future product demand by analyzing historical review data and identifying trends, helping to optimize inventory management and sales strategies. Accessing and analyzing the Amazon reviews dataset supports market strategy optimization by leveraging insights to analyze key market trends and customer preferences, enhancing overall business decision-making.

Between ************** and ***********, Google recorded the highest increase in the number of online reviews on restaurants in Italy compared to the reviews published on the platform during the previous 12 months. According to the data, the number of online reviews of restaurants published on Google increased by ** percent. Conversely, the number of online reviews on restaurants published on Tripadvisor decreased by ** percent compared to the previous 12 months.

In 2023, more than *** in *** consumers from the United States reported that they always read reviews when shopping for beauty products online. Additionally, **** percent reported that they sometimes consult online reviews.

Chronic pain (CP) lasts for more than 3 months, causing prolonged physical and mental burdens to patients. According to the US Centers for Disease Control and Prevention, CP contributes to more than 500 billion US dollars yearly in direct medical cost plus the associated productivity loss. CP is complex in etiology and can occur anywhere in the body, making it difficult to treat and manage. There is a pressing need for research to better summarize the common health issues faced by consumers living with CP and their experience in accessing over-the-counter analgesics or therapeutic devices. Modern online shopping platforms offer a broad array of opportunities for the secondary use of consumer-generated data in CP research. In this study, we performed an exploratory data mining study that analyzed CP-related Amazon product reviews. Our descriptive analyses characterized the review language, the reviewed products, the representative topics, and the network of comorbidities mentioned in the reviews. The results indicated that most of the reviews were concise yet rich in terms of representing the various health issues faced by people with CP. Despite the noise in the online reviews, we see potential in leveraging the data to capture certain consumer-reported outcomes or to identify shortcomings of the available products.

Comprehensive dataset of 1520 verified customer reviews and ratings for The Poster Edit, collected by Rated Stores.

Reputation Protection Software Market Outlook

In 2023, the global reputation protection software market size was valued at approximately USD 3 billion and is projected to reach USD 7.5 billion by 2032, exhibiting a compound annual growth rate (CAGR) of around 10.5% over the forecast period. This market is experiencing robust growth due to the increasing importance of online presence and the need for businesses to safeguard their reputation in an ever-connected digital world. The proliferation of digital platforms and the ease of access to information have heightened the necessity for organizations and individuals to actively manage their online reputation. Factors such as the rise in cyber threats, fake news, and misinformation further underscore the critical role of reputation protection software in maintaining a positive brand image and consumer trust.

The growth of the reputation protection software market is significantly driven by the escalating dependence on digital channels for business operations and consumer interactions. As more transactions, interactions, and brand perceptions occur online, the potential for reputation damage due to negative reviews, cyberattacks, and misinformation has increased manifold. Businesses are now more aware of the repercussions of a damaged online reputation, which can lead to loss of customer trust, decreased sales, and long-term brand damage. This awareness fuels the demand for reputation protection solutions that can monitor, manage, and mitigate potential threats, ensuring that organizations maintain a positive image in the digital arena.

Another key growth factor is the increasing regulatory scrutiny and compliance requirements related to data privacy and protection. As governments worldwide implement stricter regulations to protect consumer data and privacy, organizations are compelled to adopt robust systems to ensure compliance and safeguard against reputational risks. Reputation protection software not only helps businesses adhere to these regulations but also provides a proactive approach to managing reputational risks, thereby enhancing customer confidence and business credibility. The need for compliance with regulations such as General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States has further accelerated the adoption of these solutions.

The rise of social media platforms and online review sites has also played a pivotal role in the market's growth. These platforms provide customers with a voice and the power to influence a brand's reputation significantly. Negative comments or reviews can spread rapidly, potentially harming a business's reputation within a short span. Therefore, companies are investing in reputation protection software to monitor social media channels and review sites actively, respond to negative feedback promptly, and engage positively with consumers to maintain a favorable brand image. This proactive approach helps in addressing customer grievances swiftly and effectively, turning potential reputational threats into opportunities for improvement.

Regionally, North America and Europe currently dominate the reputation protection software market due to the high adoption of digital technologies and the presence of numerous key market players. In North America, particularly in the United States, the emphasis on brand protection and customer engagement strategies drives the demand. Europe follows closely, with businesses focusing on compliance with stringent data protection laws. The Asia-Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid digitalization, an expanding internet user base, and growing awareness about the importance of online reputation management among businesses in emerging economies like China and India.

Component Analysis

The reputation protection software market is segmented into software and services components, each playing a critical role in ensuring comprehensive brand management. The software component includes various tools and platforms that assist in monitoring online activities, analyzing data, and generating reports to give businesses insights into their online reputation status. These tools are equipped with features such as sentiment analysis, keywords monitoring, and alert systems that enable organizations to keep a real-time check on their brand's online presence. The software is designed to be user-friendly and customizable, allowing businesses to tailor the features according to their specific needs and industry requirements.

Comprehensive YouTube channel statistics for 9-Hole Reviews, featuring 547,000 subscribers and 145,101,398 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 477 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

A survey carried out in five European countries in 2024 showed that most consumers wished businesses replied to online reviews. About ** percent of respondents considered this action extremely important and ** percent of them saw it as very important.

Context

Bilibili Cells at Work [Movie Review Data of A Popular Anime]

Bilibili.com is an Internet company based in Shanghai, China that when IPO on Nasdaq. Many people compare it to Youtube.com but it definitely adds more with the real-time commenting features and could be a representative of young generation of Chinese.

Content

Version 1: Data collected as of May 10, 2019 on Bilibili.com. Version 2: Data collected as of June 6, 2021 on Bilibili.com.

Column Descriptions

author - Author of the review score - Overall score out of 10(i.e. 2 4 6 8 10) disliked - Times of clicking dislike in the past likes - Number of likes reacted this corresponding comment liked - Times of clicking like in the past ctime - N/A content - Review last_ep_index - Last episode watched or on cursor - Cursor Number date - Date when the review is written

** New Change**

star1-5 to calculate a like score: icon-star icon-star-light means the star was lighted, while icon-star means the star was not lighted.

Example

star1 = icon-star icon-star-light and star2-5 = icon-star : score 1 out of 5

star1-5 = icon-star icon-star-light : score 5 out of 5

Acknowledgements

The comment data is scraped from https://www.bilibili.com/bangumi/media/md102392/#short, and contains only short comments (the long comments are more like a long article about viewer's thoughts, so may relate highly to their experience rather than the anime itself). Thanks to Bilibili.com for the copyright of this show and CSDN discussion forum for python scraping assistance.

Inspiration

I hope this dataset serves as an interesting NPL topic in anime reviews and foreign language studying. Free to do any data visualization or text analysis on your own. Don't hesitate to ask me questions on the data or share your interesting idea.

Comprehensive YouTube channel statistics for BEST REVIEWS, featuring 325,000 subscribers and 34,651,543 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Technology category and is based in US. Track 1,568 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

A comprehensive dataset analyzing ethical reputation management strategies for legal professionals, including industry statistics on online review trends, client behavior patterns, and compliance guidelines for attorney marketing and client communication in the digital age.

Dataset

This dataset was created by Arjun K Rajan

Released under CC0: Public Domain

Contents

Philips Consumer Liferstyle Bv recorded an import turnover of USD 104,359,265.65 million and an export turnover of USD 9,965,380.63 million between January 2025 and December 2025. Explore detailed trade value insights, supply chain analytics, HS code-wise data, shipment history, partner countries, customs trade values, top import and export commodities with pricing, buyers, suppliers, ports, and key competitors in null.

Comprehensive YouTube channel statistics for Game Reviews KVM, featuring 749,000 subscribers and 82,332,910 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in KZ. Track 3,540 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

View Monkey business online inc import data USA including customs records, shipments, HS codes, suppliers, buyer details & company profile at Seair Exim.

In 2019, ** percent of UK holidaymakers used online review sites for destination information and accommodation reviews. However fewer respondents (** percent) said that they trusted online reviews to give an accurate reflection.

Explore detailed Hinge import data of Multi Online Distribution Inc in the USA—product details, price, quantity, origin countries, and US ports.