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Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Pickl AI

Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? Text mining is also known as text analytics or Natural Language Processing (NLP). Visualize the sentiment distribution and analyze trends and patterns in the data.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Data analysis and interpretation The next step is to examine the extracted patterns, trends and insights to develop meaningful conclusions.

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NLP Landscape: Switzerland

NLP People

Natural Language Processing has seen some major breakthroughs in the past years; with the rise of Artificial Intelligence, the attempt at teaching machines to master human language is becoming an increasingly popular field in academia and industry all over the world.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

Using causal graphs, LIME, Shapley, and the decision tree surrogate approach, the organization also provides various features to make it easier to develop explainability into predictive analytics models. IBM Watson Studio Since its founding in 1975, SPSS has developed into one of the leading statistical and analytics programs.

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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

Data Processing Data processing involves cleaning, transforming, and organizing the collected data to prepare it for analysis. This step is crucial for eliminating inconsistencies and ensuring data integrity. Data Analysis Data analysis is the heart of deriving insights from the gathered information.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Prescriptive Analytics Projects: Prescriptive analytics takes predictive analysis a step further by recommending actions to optimize future outcomes. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.