Reddit free data mining software
Organizations today are gathering ever-growing volumes of information from all kinds of sources, including websites, enterprise applications, social media, mobile devices, and increasingly the internet of things IoT. The big question is: How can you derive real business value from this information? Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships, to solve business problems or generate new opportunities through the analysis of the data. It often applied to a variety of large-scale data-processing activities such as collecting, extracting, warehousing, and analyzing data. It can also encompass decision-support applications and technologies such as artificial intelligence , machine learning , and business intelligence. Data mining is used in many areas of business and research, including product development, sales and marketing, genetics, and cybernetics—to name a few.
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- Scraping Reddit using Python
- Import.io twice as successful than web scraping at extracting complete e-commerce product data
- KDnuggets™ News 14:n01, Jan 8
- Best 19 Free Data Mining Tools
- Learn Basic Scraping with NodeJs – Data Mining Reddit.Com
- Instagram content reddit
- Business Intelligence, Data Analytics, Infographics, and Life
- Subreddit Analytics: The Top Six Tools
Scraping Reddit using Python
Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Online social networks OSNs have become a powerful tool to study collective human responses to extreme events such as earthquakes.
Our findings support the Uses and Gratification theory that users on Reddit and Twitter are engaging with platforms that they may feel best reflect their sense of self. Using the Ridgecrest earthquakes as our study cases, we collected , tweets and 45, Reddit posts including submissions and 44, comments to answer the following research questions: 1 What were the similarities and differences between public responses on Twitter and Reddit?
By answering these research questions, we aim to bridge the gap of cross-platform public responses research towards natural hazards. Meanwhile, although most people use OSNs merely as a way of recording daily life, the potential insight behind the social media data goes far beyond.
Previous studies have utilized data collected from OSNs to analyze public responses to extreme events including natural hazards or major social events 1 , 2 , 3. Do people behave similarly on different platforms and can we gain new insights using data collected from multiple online social platforms or channels? Although researchers consider social media as an active fertile ground for contemplation and study, these publications frequently focus on one platform only or are limited to Twitter and Facebook.
Nevertheless, like Reddit, other platforms can provide diverse insights as users engage with that channel differently than Twitter, particularly during earthquakes, based on our study. While Twitter leverages a following-follower structure, Reddit centers around subreddits which are communities with different interests 5. The Ridgecrest earthquake sequence is relatively unique because two major earthquakes one M6.
It was the first large earthquake s to be felt widely in Southern California in 20 years 6. Further complicating the earthquake response online, this was the first time that ShakeAlert, the earthquake early warning system of the West Coast of the USA, would have been able to provide alerts. However, the publicly available app, developed by the City of Los Angeles, did not alert users 8 , which caused users to react in a variety of ways online. The use of social media channels to communicate and information-seek has some theoretical basis.
We note that the Uses and Gratifications theory is particularly useful for our research, as it suggests that people access specific media channels based on how this channel reflects their personal values or sense of self 9. Massey et al. Further, this theory was explored in the Nepal earthquake with Twitter These networks, such as Reddit and Twitter, can also benefit crisis response as communities of online volunteers self-organize to assist from around the world 12 , Uses and gratifications theory contributes to our understanding why people may choose these different channels as well as how they express emotions, share information, and converse with each other about these events.
Given the importance of social media during a crisis, we found a dearth in the literature about how people responded to the same natural hazard on different OSNs. The vast majorities of studies focus on Twitter or Facebook, but rarely multiple platforms or channels in tandem, to compare and contrast this discourse. In a recent study by McBride et al. In this work, building upon a previous study by Ruan et al.
We have collected a dataset containing , earthquake-related tweets and 45, Reddit posts submissions and 44, comments posted between July 3rd and July 10th. After careful data preprocessing procedures, we compare the topics, emotions, and temporal variations between Twitter and Reddit. By focusing on cross-platform OSN analysis of public responses to natural hazards, our work makes the following contributions:. Extracted Reddit posts including submissions and comments that are related to the Ridgecrest earthquake sequence, along with filtering such as checking the ratio of earthquake-related comments under individual submissions;.
Identified different responses to the same earthquakes on Reddit and Twitter. Twitter and Reddit are two of the leading OSNs.
Researchers have been utilizing the OSNs to collect information for extreme events, including both natural hazards and social events 1 , 2 , 3. Case studies include photos of the Southern California wildfire 15 , the Haiti earthquake 16 , the Hurricane Harvey 17 , the Indonesia fire 18 , and earthquake detection using Tweets 19 , 20 , Most studies only focused on a single platform, and there is limited work on cross-platform analysis.
However, many different platforms are becoming increasingly popular and people use them with different motivations The most well-known technique for topic modeling is latent Dirichlet allocation LDA 28 and it is effective for analyzing long documents. However, most posts are relatively short on OSNs. For example, Twitter is based on messages i. Previous research has proposed new algorithms designed for short text topic modeling.
The literature on short text topic modeling describes four overarching categories: Dirichlet multinomial mixture DMM based methods 29 , global word co-occurrence-based methods, self-aggregation based methods 30 , and pseudo-document-based topic model Emotion analysis can be regarded as a computational treatment of opinions, sentiments, and subjectivity of text in order to find the viewpoint of authors on specific entities 34 , It evaluates the frequency of a certain corpus containing words in predefined psychological or structural categories 36 , There are many different social media platforms driven by different conceptual frameworks and motivations, and they are used by different groups of people.
These platforms can provide different types of information during the same disaster. As such, cross-platform OSN analysis can potentially generate useful new insights for crisis informatics from different perspectives.
However, since most prior works concentrated on single-platform analyses, analyses are lacking in the social media research domain, especially in crisis informatics analysis, with cross-platform data. While study by Hall et al. We focus this study on the earthquake sequence near Ridgecrest in Southern California in July PDT, and 34 h later, another M7. PDT along with more than , aftershocks Given these earthquakes M6.
We used Twitter and Reddit to conduct our study to investigate cross-platform public responses on OSNs during the earthquake sequence. Both Twitter and Reddit are leading OSNs used by millions of people globally but they have very different structures and mechanisms, thus people using them have different motivations Many of these subreddits are user-created, with thousands of different groups throughout the site These subreddits bring together people by interests in specific topics, communities of practice, or geographical areas In contrast, Twitter allows anyone to send and receive character text messages tweets via any Internet-enabled device, such as a Web page, mobile device, or third-party Twitter applications.
Twitter also has many accounts with verified identities while Reddit is anonymous. The different mechanisms of two platforms can provide complementary information to characteristic public responses.
In previous Twitter analysis, the verified account information was used to explore how different accounts including authorities e. Geological Survey , news media e. Different aspects can be used for OSN analysis, including structures, content, and user behaviors 47 , reflecting Uses and Gratifications theory. We compare the corpus on Twitter and Reddit from the following aspects: emotion, topic, and user responses. Response time is another aspect that can be used to examine how responsive the users were on different platforms to these earthquakes.
Some users posted submissions while other people then discussed the post in the comments. Therefore, those conversations between users represent critically important content on Reddit. Due to the special mechanism of Reddit, we also performed the following analysis based on its unique features, e. We examined diverse behavior by users on the different subreddits during the earthquake.
Based on the conversations of users, we constructed earthquake-conversation networks in those subreddits. We visualized these networks and used some quantitative measurements to quantify the differences among them.
Note that July 3 to July 10, is the time period for the data collection since it covers the Ridgecrest earthquake sequence, but in the later analysis, we only need to focus on a shorter time period around the event. However, some of the remaining tweets were not relevant to the earthquakes of interest.
Finally, we verified the language feature in the raw data and only kept the English tweets, which resulted in , tweets in the end , which were contributed by , unique Twitter users 1. The Reddit data were also collected from Pushshift Reddit has a different structure from Twitter and two different datasets were provided: RS i.
Pushshift maintains all the Reddit data in its database and releases monthly Reddit data. Unlike the Twitter data, in which we limited tweets geographically around the epicenter, the Reddit data were from the whole platform and therefore included much more irrelevant data. We performed more complicated filtering to further refine the earthquake-related data. Figure 1 elaborates our preliminary data filtering process. Because the Reddit raw dataset is stored on a monthly basis, we need to start from the whole July dataset.
The two sets of submissions 39, in total due to some overlap and their comments constituted our preliminary earthquake-related Reddit posts. We discovered that some comments were related to earthquakes but most of the other comments were not. For example, we found some popular sport game threads during our study period had a number of related comments but few users mentioning the actual earthquakes.
In order to exclude such cases, we further filtered the Reddit posts. The second submission set used a looser standard because we found submissions were much more likely to be related to the earthquake topic if the submission body included earthquake-related keywords.
Following this method, we collected 45, Reddit posts including submissions and 44, comments , which were contributed by 25, unique Reddit users 1. Figure 2 shows the number of Reddit submissions and comments in a min time window after our filtering process. Similar to the findings in 7 , two peaks of activity started shortly after the actual occurrence of the two major earthquakes, which verifies the rationality of our filtered Reddit data.
Besides min time window, we also examine other time windows including 5-min, min and min. All different time windows present consistent results, and we pick min here because the result is smooth and also representative.
Before applying topic modeling on the tweets or Reddit posts, preprocessing was required. In our study, we used standard natural language processing methods to preprocess all the corpus. All the mentions , hashtags , punctuation, and URLs were removed through regular expressions. All sentences were lower-cased, tokenized, and de-accented so that a list of tokens were obtained for each tweet or Reddit post and they were prepared for topic modeling. Finally, we removed all non-English tokens using the English dictionary.
The first time window is between the foreshock and mainshock, while the second one is from the mainshock and with the same length as the first one.
These two windows of the same length can help us directly compare the time periods.
Import.io twice as successful than web scraping at extracting complete e-commerce product data
Applied Network Science volume 6 , Article number: 21 Cite this article. Metrics details. Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of , memes collected from Reddit in the middle of March, , when the most serious coronavirus restrictions were being introduced around the world.
KDnuggets™ News 14:n01, Jan 8
Stay updated with us. Sign up for newsletter now! Thank you to all that helped make Thinknum Prometheus Summer Party a huge success! Check out some of the photos from the event. When an item was out of stock or unavailable, Thinknum used the most recent price listed on the site. Some details about the toys aren't shown, to reduce the risk of their prices being selectively lowered. Amaya, God's Worker and Old Titan are on the quest for the promised land of alpha.
Best 19 Free Data Mining Tools
Experiment with different content types. As of right now, the minimum daily spend for an ad on Reddit is. Get your followers Instantly with Instagram is getting bigger each day, so boosting your profile's fame and visibility gets even harder. All about Instagram Content.
Learn Basic Scraping with NodeJs – Data Mining Reddit.Com
Firstly, if you are just starting out and scraping is something new to you, I would suggest to go and check out some of the other blog posts:. Since there are actually 2 versions of the same reddit website, I am going to choose one over the other for scraping purposes. The new version of ready is currently the main one which is live on their website, which people actually use. Some of you may know and some may not, the older version can still be accessed through the following url:. The old reddit gives us a much better option when scraping because the content is provided directly and they do not use dynamic content loading as much as in the new version.
Instagram content reddit
Along with the transition to an app-based world comes the exponential growth of data. However, most of the data is unstructured and hence it takes a process and method to extract useful information from the data and transform it into understandable and usable form. There are four kinds of tasks that are normally involve in Data mining:. Rapid Miner, formerly called YALE Yet another Learning Environment , is an environment for machine learning and data mining experiments that is utilized for both research and real-world data-mining tasks. It is unquestionably the world-leading open-source system for data mining. Written in the Java Programming language, this tool offers advanced analytics through template-based frameworks. It enables experiments to be made up of a huge number of arbitrarily nest able operators, which are detailed in XML files and are made with the graphical user interface of Rapid Miner. The best thing is that users do not need to write codes.
Business Intelligence, Data Analytics, Infographics, and Life
Last semester two of my friends and I made some sort of a search engine for Hackernews and Reddit. The idea was to collect all articles published on those two platforms and search them for trends. The result was TechTrends.
Subreddit Analytics: The Top Six Tools
RELATED VIDEO: How To Scrape Reddit Using Python's praw - WallSteetBets WSB Website Part 1This is a subreddit dedicated to investor discussion and strategies related to the stock of Genius Brands International Inc, a children's media and distribution company based out of Beverly Hills, California. Key Data. No funds. During the day the stock fluctuated
Hnt miner reddit. Including staking, running, updating, and monitoring. Expired I really like how easy this was. Source code is available on Github. VAT invoice can be issued. Hotspots provide miles of wireless network coverage for millions of devices around you using Helium LongFi, and you are rewarded in HNT for doing this.
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