Opinion mining for national security: techniques, domain applications

Opinion mining, or sentiment analysis, is a field in Natural Language Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and emotions toward individuals, topics, and events. The task is technically challenging but incredibly useful. With the explosive growth of the digital platform in cyberspace, such as …

What is Text Mining? | IBM

What is text mining? Text mining, also known as text data mining, is the process of transforming unstructured text into a structured format to identify meaningful patterns and new insights. By applying advanced analytical techniques, such as Naïve Bayes, Support Vector Machines (SVM), and other deep learning algorithms, companies are able to ...

What Is Data Mining? (Definition, Uses, Techniques) | Built In

Data mining can be used to discover insights that lead to better marketing strategies, increased sales, decreased costs and reduced churn, and is dependent on proper data collection and warehousing techniques. We can use data mining alongside predictive analytics and machine learning to identify data patterns and investigate …

Canadian mining industry

Market capitalization of leading mining companies in Canada as of April 2022 (in billion U.S. dollars) Basic Statistic Nutrien's revenue 2017-2022 Nutrien's revenue 2017-2022

5 Tips for successful Mining Communications and Marketing

For marketing teams within mining companies it's all about analysis of the marketplace, recognising opportunities to maximise sales and strong brand …

Social Media Data Mining: What It Is, How It Works, and

• Some of its major uses in businesses include targeted marketing campaigns, market research, sales enablement, predictive analytics, influencer marketing, and monitoring of brand reputation. • Trend analysis - Businesses use social media data mining to gain valuable insights into currently trending keywords, mentions, and topics …

Online Course Catalog and Directory | Coursera

WhatsApp Business Platform for Developers. Choose from hundreds of free courses or pay to earn a Course or Specialization Certificate. Explore our catalog of online degrees, certificates, Specializations, & MOOCs in data science, computer science, business, health, and dozens of other ...

A Text Mining-Based Review of Cause-Related Marketing Litera

This paper uses an advanced Text Mining methodology (a Bayesian contextual analysis algorithm known as Correlated Topic Model, CTM) to conduct a comprehensive analysis of 246 articles published in 40 different journals between 1988 and 2013 on the subject of cause-related marketing. Text Mining also allows quantitative analyses to be …

Mining in South Korea

Gross domestic product (GDP) from the mining and quarrying sector in South Korea from 2011 to 2022 (in trillion South Korean won) PPI of mining products in South Korea 2011-2022. PPI of mining ...

Topic Mining on Amazon Reviews

Most important words per topic for a total of 12 topics. The generic topic is split into two — Topic_0 and Topic_3. What you can clearly see in the word clouds is, that some topics seem to split into subtopics the more you add. When selecting 6 topics you can see that Topic_5 is a mixture of generic amazon and product related topics.

Frontiers | Using Topic Modeling Methods for Short …

Yan et al. (2013) developed a short-text TM method called biterm topic model (BTM) that uses word correlations or embedding to advance TM. The fundamental steps involved in text mining are shown …

User-concerned actionable hot topic mining: enhancing …

Additional detail indicates that the matrices W and H, respectively, associate M words and N texts with K hot topics. For one thing, the column vector W (:, k) ∈ R + M × 1 denotes the latent representation of k-th hot topic considering M words, and its elements are the weights of the corresponding words. For another thing, the row vector H (j,;) ∈ R + 1 × K is the …

Marketing the Mining Business Case: Best Practice

The mining business case needs to be marketed to mining investors and there are two key documents: the mining investor presentation and the mining business plan. These documents need to …

Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis

Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation. Seshadri Tirunillai [email protected] ... Artificial intelligence in marketing: Topic modeling, scientometric an... Go to citation Crossref Google Scholar. Collusion among Accounting Students: Data Visualization and …

Data Mining Tutorial

Data mining is the process of extracting knowledge or insights from large amounts of data using various statistical and computational techniques. The data can be structured, semi-structured …

Geology and Mining: Mineral Resources and Reserves

Editor's note: The Geology and Mining series, edited by Dan Wood and Jeffrey Hedenquist, is designed to introduce early-career professionals and students to a variety of topics in mineral exploration, development, and mining, in order to provide insight into the many ways in which geoscientists contribute to the mineral industry.

Applications of text mining in services management: A systematic

Further, we applied visualization tools for text mining and the topic association to understand the dominant themes and relationships. The analysis highlighted that social media analysis, market analysis, competitive intelligence are the most dominant themes while other themes like risk management and fake content detection are also …

The mining value chain: A hidden gem | McKinsey

Text Mining and Analytics | Coursera

During this module, you will continue learning about sentiment analysis and opinion mining with a focus on Latent Aspect Rating Analysis (LARA), and you will learn about techniques for joint mining of text and non-text data, including contextual text mining techniques for analyzing topics in text in association with various context information such as time, …

The United States Needs More than Mining Engineers to Solve …

Australia has also seen many mining job vacancies more than double since February 2020, with the country needing 24,400 new workers by 2026 and the market forecasting to only supply about 16,000 in that time frame. These statistics advise a serious redirect in how the mining industry and society at large engage in conversations about …

Marketing to Mining: how to build credibility and …

The second key lesson in marketing is that referrals and recommendations are great, but don't hang your hat on them because end users in mining aren't stupid.

Forces shaping the future of mining and how to …

We outline the 10 forces which will impact and shape the future of mining and how responsible businesses should approach the complex challenges ahead. Mining and Metals Global forces shaping …

Mine Your Own Business: Market-Structure Surveillance Through …

The difficulty in obtaining such market-structure insights from online user-generated content is that consumers' postings are often not easy to syndicate. To address these issues, we employ a text-mining approach and combine it with semantic network analysis tools. We demonstrate this approach using two cases—sedan cars and …

Application of Marketing Strategies in the Mining Sector for

The Mining Sector Marketing Mix. In the modern day marketing, the marketing mix is based on the seven principles which are product, price, packaging, people, price, place …

9 Data Mining Project Ideas for Building Your Portfolio (2023)

8) Weather Data Mining Project. Out of all the data mining projects, this one is my favorite. Weather data is a rich source of information. There are many different data sources that can be used for weather data. These include historical weather data, current weather data, and forecast data.

What Could Be The Best Topic to Research in Data Mining?

Best Topics To Research In Data Mining. Here we'll take a quick look at the topics listed below in prospect of finding the best topic within data mining to make your research paper stand out. 1 ...

The mining value chain: A hidden gem | McKinsey

Eleven core levers factor into mine-to-market performance enhancement.. Value-driver tree: Representation that links business value to a comprehensive set of detailed value drivers, allowing for a better understanding of the business. Overarching levers. Planning: Improvements such as short- and medium-term planning for port, rail, …

Topic modeling in marketing: recent advances and research

Using a probabilistic approach for exploring latent patterns in high-dimensional co-occurrence data, topic models offer researchers a flexible and open framework for soft-clustering large data sets. In recent years, there has been a growing interest among marketing scholars and practitioners to adopt topic models in various …

Mining industry in Australia

Largest iron ore mining companies Australia 2023, by market capitalization . Leading iron ore mining companies by market capitalization in Australia as of August 23, 2023 (in billion Australian ...

A Guide: Text Analysis, Text Analytics & Text Mining

Mining past and ongoing interactions helps marketing teams monitor the customer chatter, and stay ahead of emerging topics. This lead in customer insight allows marketing to focus on creating …