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Twitter Dataset for Arabic Sentiment Analysis Arabic tweets. Samples hand-labeled as positive or negative. 2000 Text Classification 2014 [53] [54] N. Abdulla Buzz in Social Media Dataset Data from Twitter and Tom's Hardware. This dataset focuses on specific buzz topics being discussed on those sites.
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
A buzz graph for the term "teszt" on Twitter in a social media monitoring tool. Social media analytics or social media monitoring is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is ...
Mathematica – provides built in tools for text alignment, pattern matching, clustering and semantic analysis. See Wolfram Language, the programming language of Mathematica. MATLAB offers Text Analytics Toolbox for importing text data, converting it to numeric form for use in machine and deep learning, sentiment analysis and classification ...
Twitter briefly tested a feature in 2022 that allowed users to set the current status—codenamed "vibe"— for a tweet or account, from a small set of emoji-phrase combinations. It would allow the user to either tag per-tweet, or on the profile level with it showing on tweets and the profile.
Despite Jack Dorsey's own open contention that a message on Twitter is "a short burst of inconsequential information", social networking researcher Danah Boyd responded to the Pear Analytics survey by arguing that what the Pear researchers labeled "pointless babble" is better characterized as "social grooming" or "peripheral awareness" (which ...
fflick was a website devoted to reviews, information, and news of films based on information collected on Twitter. fflick was launched in August 2010 by Kurt Wilms and three other former Digg employees. [1] It was acquired by Google in January 2011 and discontinued. [2]