Here is a code for sentiment analysis explained with sentiwordnet. The code is here for determining the sentiment analysis of a sentence. I have used this on the climate dataset with me. And found the most positive sentiment-oriented documents and most negatively oriented documents, also the most lengthy documents too. Here is a simple codeContinue reading “Sentiment Analysis with Python- SentiWordNet”
Tag Archives: nlp
Fuzzy Inference Engine-based Information Retrieval in Python- Research Exercise
#AI In this article, a research-based approach to solving information retrieval of Climate Documents is provided. Several places suggestions are provided for what can be done to improve the work. This is an AI Exercise and can be enhanced to be a full project with minor-major changes and workouts. This has been explained in python.Continue reading “Fuzzy Inference Engine-based Information Retrieval in Python- Research Exercise”
AI based Scrum Master
Its been a while AI made news in paintings, arts, text generation. Its time AI makes news in product management. Yes AI based product management, these wont be just limited to software based product management, but we can start it from scrum master. Here, AI shall work with scrum master, and learn how the scrumContinue reading “AI based Scrum Master”
Doctor with a Robot by his side! The Future.
Note: At present the software and algorithms cannot help doctors much unless confirmed by doctors themself, such as in some surgeries where doctors nod that they can help. Otherwise will just confuse the doctors and patients. This is a future mission and the way mankind should work on. Please do not rely on AI asContinue reading “Doctor with a Robot by his side! The Future.”
Sentiment Analysis of Climate Text Data – Lesson 4
In this article, we shall see how climate text data collected and computed for analysis in previous articles can be analyzed for sentiment analysis. The toolkit used today for text sentiment analysis is TextBlob. There are several other ways to compute sentiments. But the steps shall be the same though the libraries can change. Lets usContinue reading “Sentiment Analysis of Climate Text Data – Lesson 4”
Climate Data- NLP-based Textual Analysis- Part 2
The dataset taken had 66 files and with total number of words being 97099. We know this dataset is small, given the topic is so important, but with our resources and web crawling of important websites, this much was collected. This can be taken as a nice sample over the big data available on web.Continue reading “Climate Data- NLP-based Textual Analysis- Part 2”
360 degree Test for Intelligence for Machines
Note: This article appears in full text on researchgate at following link in original: (PDF) 360 degree Test for Intelligence for Machines (researchgate.net) [ https://www.researchgate.net/publication/366824869_360_degree_Test_for_Intelligence_for_Machines%5D Turing Test, is one of the most famous test to declare intelligence of a machine. Turning test had several variations and characterizations to study. The most popular version of Turning test involveContinue reading “360 degree Test for Intelligence for Machines”
Soft Rough Sets based Summarization Models — Part 2 (Approximate Learning)
Note: This same article appears in my median.com account as well In the last article we discussed, on how Soft Sets, a tool for uncertainity handling can be used for summarization of text data. We emphasized the role of WordCloud in this as well. In previous article, Soft set was defined as: Definition 1: [Molodtsov 1999]Continue reading “Soft Rough Sets based Summarization Models — Part 2 (Approximate Learning)”
Soft Set Based Summarization Model
(Applications of Approximate Learning) Nidhika Yadav Soft set basically deal with uncertain data which is not precisely classified into one domain of required characterization. Note one domain may be approximate while in another domain of knowledge the same problem may be precise. This can be understood as political parties example, in one domain a politicalContinue reading “Soft Set Based Summarization Model”
Sentiment Analysis, a Quick Review of Essentials
This is first in series of evaluations of sentiment scores and applying these in useful applications. In coming articles you can see some applications of the topics introduced. Todays topic is of introduction of Sentiment Analysis. This is not a basic’s session but a review session. Sentiment Analysis can be defined in several ways. TheContinue reading “Sentiment Analysis, a Quick Review of Essentials”
Artificial Intelligence, Computer Science & Mathematics 