Sentiments | iOS app written in Swift that analyzes text | Predictive Analytics library

 by   kyleweiner Swift Version: Current License: MIT

kandi X-RAY | Sentiments Summary

kandi X-RAY | Sentiments Summary

Sentiments is a Swift library typically used in Analytics, Predictive Analytics applications. Sentiments has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Sentiments is an iOS app written in Swift that analyzes text for positive or negative sentiment. Positive sentiment is highlighted in green and negative sentiment is highlighted in red. The color of the interface reflects the aggregate sentiment of the analyzed text.
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              Sentiments has a low active ecosystem.
              It has 171 star(s) with 12 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Sentiments is current.

            kandi-Quality Quality

              Sentiments has 0 bugs and 0 code smells.

            kandi-Security Security

              Sentiments has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Sentiments code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Sentiments is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Sentiments releases are not available. You will need to build from source code and install.

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            Sentiments Key Features

            No Key Features are available at this moment for Sentiments.

            Sentiments Examples and Code Snippets

            No Code Snippets are available at this moment for Sentiments.

            Community Discussions

            QUESTION

            sentiment analysis of a dataframe
            Asked 2022-Mar-17 at 15:53

            i have a project that involves determining the sentiments of a text based on the adjectives. The dataframe to be used is the adjectives column which i derived like so:

            ...

            ANSWER

            Answered 2022-Mar-17 at 12:43

            QUESTION

            Add new column in dataframe based on multiple column conditions
            Asked 2022-Mar-08 at 14:02

            I have the following dataframe with sentiments:

            Text Negative Neutral Positive I lost my phone. I am sad 0.8 0.15 0.05 How is your day? 0.1 0.8 0.1 Let's go out for dinner today. 0.06 0.55 0.39 I am super pissed at my friend for cancelling the party. 0.73 0.11 0.16 I am so happy  I want to dance 0 0.1 0.9 I am not sure if I should laugh or just smile 0.08 0.24 0.68

            This is based on the sentimental analysis I have completed. Now, each text can be tagged as any one of the 5:

            Very Negative, Negative, Neutral, Positive, Very Positive.

            I want to add a new column in the dataframe that analyses the sentiments and tags as per the following rule:

            1. If the value of negative or positive is most dominating and >= 0.8 (80%) then mark it as very negative or very positive.

            2. If the value of negative or positive is most dominating but it is >= 0.5 but less than 0.8 then just negative or positive.

            3. If the value of neutral is >= 0.5 then Neutral. There is no such thing as Very Neutral.

            For the above example, the result should look like below:

            Text Negative Neutral Positive Sentiment I lost my phone. I am sad 0.8 0.15 0.05 Very Negative How is your day? 0.1 0.8 0.1 Neutral Let's go out for dinner today. 0.06 0.55 0.39 Neutral I am super pissed at my friend for cancelling the party. 0.73 0.11 0.16 Negative I am so happy  I want to dance 0 0.1 0.9 Very Positive I am not sure if I should laugh or just smile 0.08 0.24 0.68 Positive

            How can I perform this operation in dataframe. I want to then plot a graph to see the distribution of each of those 5 sentiments. That part I can do, but I am trying to get this multiple conditions working on pandas.

            Any help is greatly appreciated.

            ...

            ANSWER

            Answered 2022-Mar-08 at 04:30

            You can use np.select()

            Source https://stackoverflow.com/questions/71389966

            QUESTION

            Errors in counting + combining bing sentiment score variables in Tidytext?
            Asked 2022-Feb-02 at 00:38

            I'm doing sentiment analysis on a large corpus of text. I'm using the bing lexicon in tidytext to get simple binary pos/neg classifications, but want to calculate the ratios of positive to total (positive & negative) words within a document. I'm rusty with dplyr workflows, but I want to count the number of words coded as "positive" and divide it by the total count of words classified with a sentiment.

            I tried this approach, using sample code and stand-in data . . .

            ...

            ANSWER

            Answered 2022-Feb-02 at 00:38

            I don't understand what is the point of counting there if the columns are numeric. By the way, that is also why you are having the error.

            One solution could be:

            Source https://stackoverflow.com/questions/70949018

            QUESTION

            React-Native Image Not Showing
            Asked 2022-Jan-24 at 04:44

            Okay, so I have a react-native screen looking like

            ...

            ANSWER

            Answered 2022-Jan-24 at 04:44

            Take out the image from path first give it specific, height , width and size .Then you can pass in uri.

            Source https://stackoverflow.com/questions/70744760

            QUESTION

            How can I align labels in a group of bar charts?
            Asked 2022-Jan-13 at 22:30

            I would like to align the labels for the count and percentage over the columns in a group of bar charts. In some of the charts in the group, not all values are represented. There are three values for sentiments -- positive, neutral, and negative -- but some offices only have one or two of the responses. For the individual charts without a value, the labels don't align. How can I get the columns and labels in alignment.

            Here is the data and my code -- really appreciate the support!

            ...

            ANSWER

            Answered 2022-Jan-13 at 22:30

            There are a number of issues with your minimal reproducible example. I strongly recommend using the reprex package and following How to make a minimal reproducible example and How to make a great R reproducible example for future posts.

            The answer to your question is, I believe, very straightforward. If you add preserve = "single" to each geom_text() the labels appear to be positioned correctly. I wasn't able to run your example code, so I have stripped out some of the problematic sections to illustrate my answer:

            Source https://stackoverflow.com/questions/70703041

            QUESTION

            how to iteratively SELECT by hour for averages by userid?
            Asked 2022-Jan-11 at 14:03

            I'm trying to average some metrics by user id, and by hour, in a select statement.

            Would love some help understanding the best approach to doing this without using parameters in a python script :P

            this is the current query,

            ...

            ANSWER

            Answered 2022-Jan-11 at 13:47

            In posgresql you can group by year, month, day and hours using,

            Source https://stackoverflow.com/questions/70667395

            QUESTION

            next character prediction with GRU gives different results each time
            Asked 2022-Jan-02 at 00:51

            I am trying to predicts a evolution of sentiments in a dialouge. To that end, I have used BERT to get the sentiments. Then for each call, I have encoded sentiments as P for Positive, E for Negative and N for Neutral. Thinking that this is just a next character prediction problem, I have used this https://www.tensorflow.org/text/tutorials/text_generation tutorial verbatim to train it on my own data. The problem is that it gives different results each time I run inference.

            call_index sentiments 6081bdea52c838000aaa53d3 PNNNNPNPNPPENNNNNEPNNE 6081c27bde933a000a4384b0 PENNNNNEENNPNPEPNPPNNNNNNNNNNN 6081c54dd12abf000ab3c6f5 NNPNNNPNNNPPNNN 6081c666d7a1f7001cecce98 NNNNNPP 6081d8576eb5530043e3401f NNNNPNNNNNNNNNNNNNNNNNNPPNNNNNNNNNENNNNNNENNNN ...

            ANSWER

            Answered 2022-Jan-02 at 00:51

            One of the simplest non-trivial approaches to text generation is to do what is implemented in the tutorial at the ###-highlighted line:

            Source https://stackoverflow.com/questions/70552839

            QUESTION

            Adding unique colors for each bar of a multi-histogram grid plot in Python
            Asked 2021-Nov-30 at 16:17

            I am trying to create a multi-histogram plot in Python using Matplotlib with each class ( bar ) having a unique color.

            I was able to achieve the graph but I am unable to get the bar's colors working. Here is my code:

            ...

            ANSWER

            Answered 2021-Nov-30 at 16:17

            You are drawing a histogram, while you only have 3 values, creating a bar of height 1 for each of these values (or of height 2 when 2 values are very close). It would be clearer to just draw this as a bar plot, which does allow one color per bar. To make things comparable, it could be useful to set the same x-limits on all subplots:

            Source https://stackoverflow.com/questions/70161190

            QUESTION

            Newtonsoft.Json.JsonReaderException Input string '0.64' is not a valid integer
            Asked 2021-Nov-29 at 03:16

            I keep getting a Newtonsoft.Json.JsonReaderException that says "Input string '0.64' is not a valid integer. I can't figure out how to fix the issue. I am following a C# tutorial on Treehouse, but it is from a few years ago and the instructions are outdated.

            I am trying to use the Azure Cognitive Services Text Sentiment Analysis API.

            ETA: NewsResult class (added at end)

            Here is my main method file:

            ...

            ANSWER

            Answered 2021-Nov-29 at 03:16

            fix ConfidenceScores class

            Source https://stackoverflow.com/questions/70149030

            QUESTION

            I want to place two grids on the same level with 50% width each
            Asked 2021-Nov-16 at 10:27

            I have a div of class text which contains text with flex as display and have another div called images that has 4 images aligned using grid display. My concern is that I cannot have them on the same level. If i give the text container a margin top property to align it with the image container, the image container comes down as well leaving me with uneven alignment

            ...

            ANSWER

            Answered 2021-Nov-16 at 10:27

            So, I'm not entirely sure if this is what you're after, but what I gathered is that you want both of your main divs to be shown on the same layer. For this, I've just encased both elements in a flex container and I've removed the grid-template-areas, which you can still use if you want.

            I've also removed the "Float" property because it can often mess up a lot of other layout features, hope it helps and if not let me know how I can improve the answer

            Source https://stackoverflow.com/questions/69986314

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Sentiments

            You can download it from GitHub.

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