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View details. Flag as inappropriate. Privacy Policy.With consumers paying more attention to this than sentiment, businesses must consider what they can do to earn that coveted five-star reputation. This leap shows the growing importance of responding to reviews quickly and professionally, addressing any negative comments with further context or information on how the criticism has led to change. This is likely to be tied to the growing number of consumers who expect businesses to have a significant number of reviews (see Q9).

A poor customer experience could bring the average star rating down, which could lead to a business being automatically blacklisted by a significant number of consumers. Keeping on top of reputation means regular checks on ratings across different review sites. Businesses must build a proactive plan to encourage positive reviews if they want to ensure potential customers are not put off.

While a relatively small proportion of consumers expect to see a large number of reviews, failing to meet such expectations could mean losing out on a significant chunk of potential customers at the first hurdle. Consumers generally expect businesses to acquire reviews regularly, so those that struggle to get these may risk people losing trust in them. Potential customers could also be turning to competitors with a higher quantity of reviews that back up the trustworthiness of the star rating.

Consumers expect to see a significant number of reviews in order to trust the average star rating, and therefore to trust the business. With recency a key concern for consumers, keeping the volume of recent reviews high and the average star rating glowing is an ongoing process and requires considerable effort to achieve. This shows that although trust in reviews is at an all-time high, review platforms need to do more to encourage faith in review scores and convince this minority that reading reviews is a reliable way of assessing the quality of a business.

For consumers to continue to trust online reviews as much as the recommendations of peers, the top review sites must focus on building an unbiased base of reviewers, and reacting quickly to those posting inauthentic reviews.

Businesses, too, can limit the impact of unjust or false claims by closely monitoring reviews. This enables them to react more quickly, taking all feedback on board politely and professionally, and notifying review platforms of any fake reviews found.

Our survey finds that the majority of respondents both read and leave reviews for businesses. One of the key findings to acknowledge here is that just over a quarter of respondents are in that middle place of not yet having left a review but being open to the idea.

These are the people businesses could benefit from by employing a strategy for requesting reviews. This data suggests that local businesses should ensure they fit review requests into the customer journey. For the discerning consumer this has stretched to reviews, with people becoming more skeptical of the intent behind the sentiment. Coupled with the high level of trust that consumers place in reviews, businesses and review sites face a serious challenge in weeding out or preventing fake reviews.

And with more people than ever expecting high star ratings (Q11), even one rogue review could cause businesses to drop out of favor. The objective of the survey Online Reviews Why Your Clients Need Reputation ManagementIf you help clients with their digital marketing efforts, one service you should take a look at offering is Reputation Management. Why is Reputation Management so important for small- to medium-sized businesses.

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Can somebdy else please comment and let me know if this is happening to them too.Be the first to try and give feedback to make Visual Studio even better. Download Visual Studio Preview Community Professional Enterprise Check out the Release Notes Learn about the new release rhythm. Frequent buildsNew builds are available often with features, bug fixes, and other recently closed issues Side-by-SidePreview installs next to your stable Visual Studio IDE, allowing you to use either independently.

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Check out the release rhythm to learn about the overall release model. If you are using extensions, you will need to reinstall them for each instance of Visual Studio. Note that installing both will not double the size of your Visual Studio installation because some components are shared between the two. For example, if you install the Windows SDK for both instances, the Windows SDK will be installed only once on your computer. Like any other pre-releases of Visual Studio, it is not supported in production environments.

For more information, please see our Release Notes. To install the release (go-live) version of Visual Studio 2017, visit: Downloads. We strongly recommend that you choose the same edition that you currently have a license for. If you do not have an existing license, then you should consider using Community after reading the License Terms.

If you have a Professional or Enterprise license already for Visual Studio, then you should choose the edition that corresponds to your license when downloading Preview. Both Wade and Oladipo played for Tom Crean in college and worked out together last summer in Miami.

Cleveland brings a 13-game winning streak into Friday's contest at Bankers Life Fieldhouse. On Monday, Indiana (14-11) took advantage of an undermanned Knicks squad to snap a two-game losing streak. Against the Bulls on Wednesday, Indiana needed a heroic late 3-pointer from Victor Oladipo, who pulled up on the fastbreak and stole a victory from the struggling Chicago squad.

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But come Friday, Indiana faces one of its toughest tests of the season: a rolling Cleveland Cavaliers (18-7) team that has won 13 in a row after a desultory start to their season. The seemingly ageless LeBron James enters Friday night on pace for one of his most statistically dominant seasons of his career. The 13-time All-Star is now averaging 28 points, 7.

The Pacers enter Friday's test against a division rival on a solid stretch of play as well, having won eight of their last 11 contests. Indiana's 3-point shooting has been a key to its success all season long. The Pacers have knocked down 40 percent of their threes this year, the second best mark in the league, trailing only the Golden State Warriors.Each topic is composed of a set of words which are thematically related.

The words from a given topic have different probabilities for that topic.

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At the same time, each word can be attributable to one or several topics. So for example the word "sea" may be found in a topic related with sea transport but also in a topic related to holidays. Topic model automatically discards stopwords and high frequency words that occur in almost all of the documents as they don't help to determine the boundaries between topics. Topic model's main applications include browsing, organizing and understanding large archives of documents.

It can been applied for information retrieval, collaborative filtering, assessing document similarity among others. The topics found in the dataset can also be very useful new features before applying other models like classification, clustering, or anomaly detection. Topic model returns a list of top terms for each topic found in the data. Note that topics are not labeled, so you have to infer their meaning according to the words they are composed of. By looking at each group of terms below we can interpret the first topic as regulatory related, the second as healthcare related and so on.

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You can obtain up to 128 different topics. Once you build the topic model you can calculate each topic probability for a given document by using Topic Distribution. This information can be useful to find documents similarities based on their thematic. You can also list all of your topic models. Specifies a list of terms to ignore when performing term analysis. This can be used to change the names of the fields in the topic model with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.

All text fields in the dataset Specifies the fields to be considered to create the topic model. If multiple fields are given, the text field values for each row will be concatenated so that each row is still considered to be one document. If it is unset, it will be chosen automatically based on the number documents (i.

The minimum value is 2 and maximum value is 64. Example: "MySample" tags optional Array of Strings A list of strings that help classify and index your topic model. Computation is linear with respect to this parameter. The minimum value is 128 and maximum value is 16384. The minimum value is 1 and maximum value is 128. Example: true You can also use curl to customize a new topic model. Once a topic model has been successfully created it will have the following properties.

Topic Model Status Creating a topic model is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems. The topic model goes through a number of states until its fully completed. Through the status field in the topic model you can determine when the topic model has been fully processed and ready to be used to create predictions.

Thus when retrieving a topicmodel, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve. To update a topic model, you need to PUT an object containing the fields that you want to update to the topic model' s base URL.

Once you delete a topic model, it is permanently deleted.Very easy to get info via, online chat. I can get instant account updates by logging into the Tello App. I believe the only way Tello can do better is to work with Sprint to better improve their coverage network. While I'm in the City, I have no connection issues.

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