TwitterSentimentAnalysis | Spark Streaming implementation for Online Twitter

by DavideNardone Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | TwitterSentimentAnalysis Summary

TwitterSentimentAnalysis is a Python library typically used in Telecommunications, Media, Media, Entertainment, Big Data, Spark applications. TwitterSentimentAnalysis has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However TwitterSentimentAnalysis build file is not available. You can download it from GitHub.

A Spark Streaming implementation for Online Twitter Sentiment Analysis.

Support

Quality

Security

License

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Support

TwitterSentimentAnalysis has a low active ecosystem.

It has 7 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

TwitterSentimentAnalysis has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TwitterSentimentAnalysis is current.

Quality

TwitterSentimentAnalysis has no bugs reported.

Security

TwitterSentimentAnalysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

TwitterSentimentAnalysis is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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

TwitterSentimentAnalysis has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed TwitterSentimentAnalysis and discovered the below as its top functions. This is intended to give you an instant insight into TwitterSentimentAnalysis implemented functionality, and help decide if they suit your requirements.

Build Tweet from text
Preprocess the text
Process a Tweet
Removes stop words from text_list
Stem a list
Tokenizing the text
Return the polarity of the text
Get Tweet from text
Replace two characters in text
Get the list of acronyms
Return a list of emoticons
Implements the jdbc insert method
Return the SQLContextSingleton instance
Create a unique table name

Get all kandi verified functions for this library.

TwitterSentimentAnalysis Key Features

No Key Features are available at this moment for TwitterSentimentAnalysis.

TwitterSentimentAnalysis Examples and Code Snippets

No Code Snippets are available at this moment for TwitterSentimentAnalysis.

Community Discussions

Trending Discussions on TwitterSentimentAnalysis

Errno 2 No such file or directory:

Producer is publishing into Kafka but cannot read from Spark structured streaming

Could not find or load main class in scala in intellij IDE

how to calculate the accuracy when working with corenlp

QUESTION

Errno 2 No such file or directory:

Asked 2021-Apr-14 at 02:47

I am using jupyter notebook (python 3.8 both from anaconda3) and following this post, cells 84 and 85 are resulting in the traceback and followed the advice of

...

ANSWER

Answered 2021-Apr-14 at 02:11

That means the file does not exist in the directory it is called. You must download their 'cloud.png' and put it in the same file as the jupyter notebook file.

https://github.com/ChilesheChanda/TwitterSentimentAnalysis/blob/master/cloud.png

Source https://stackoverflow.com/questions/67084464

QUESTION

Producer is publishing into Kafka but cannot read from Spark structured streaming

Asked 2021-Mar-18 at 06:41

I am using Kafka to publish Tweets and it runs correctly as I am able to see the echo with the following command

...

ANSWER

Answered 2021-Mar-18 at 06:30

By default, the data (columns key and value) stored in Kafka is serialized as a String.

Looking at the Structured Streaming + Kafka Integration Guide you will see that the type of two columns key and value is binary:

Also, in the Guide it is mentioned how to deal with this. You need to cast the columns into String Type as shown below:

Source https://stackoverflow.com/questions/66685649

QUESTION

Could not find or load main class in scala in intellij IDE

Asked 2018-Aug-03 at 02:50

I have searched for this error, but the answers were for Java, but my case is Scala. I am trying to run this project in IntelliJ IDE sentimenAnalysis, but it throws an error. This is also the structure of the project. Class Not found

Update 1 According to answers, Adding $ at the end of the name of search class

Update 2 after adding sbt task:

Update 3 My problem was resolved by importing the project, instead of getting it directly from GitHub, probably the manual configuration that Mike Allen said could resolve the problem, but I couldn't successfully apply that.

...

ANSWER

Answered 2017-May-24 at 17:08

Probably you imported project somehow wrong. I see scala folder is not highlighted as sources. Usually, you don't even need to setup Run configuration manually for Scala SBT project. Do you have Scala and SBT Plugins in your IDE?

You should open SBT projects through "Import project" and choose "build.sbt" file. I would also recommend enabling auto-import to install all of the dependicies.

That's how it look for me:

If you still wanna make it manually your configuration should work. That's my Run configuration that works:

Source https://stackoverflow.com/questions/44163744

QUESTION

how to calculate the accuracy when working with corenlp

Asked 2017-May-26 at 23:34

please let me know if I am unclear,

I found some projects in the GitHub written with scala or java with the aim of getting sentiment of the text using corenlp,

I had already tried other approaches to get the sentiment of the text, the approach was like this, we had training data, so we trained data and make a model then we could evaluate our model with testing data, so the test data had an accuracy,

with regard to this, why no one is interested in calculating the accuracy of the result when they are working with corenlp?

may I ask you some ideas or approach to finding the accuracy when working with corenlp?

some examples: sentiment1

sentiment2

sentiment3

sentiment4

...

ANSWER

Answered 2017-May-26 at 23:34

After searching I found my answer,

the answere is as simple as this: corenlp is not a library for classification like this, I mean it reports the analysis of the text. but we can have both training data and testing data again then evaluate our accuracy. its a bit time consuming but worth it if you need to work with corenlp.

more explanations to how to do it link

Source https://stackoverflow.com/questions/44170614

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

Vulnerabilities

No vulnerabilities reported

Install TwitterSentimentAnalysis

You can download it from GitHub.
You can use TwitterSentimentAnalysis like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.