#AI, #ArtificialIntelligence #NLP Sentiment oriented Retrieval/ Opinionated Retrievals In this article we apply the skills of sentiment analysis on the climate corpus we collected sometime back. Question: Why do we need to do this? Answer: Once we get documents and text fragments with high positive sentiment and high negative sentiment scores, we get a kindContinue reading “Sentiment-Oriented Retrieval on Climate Textual Data”
Category Archives: nlp
Sentiment Analysis with SentiWordNet- Part II
#AI, #ArtificialIntelligence #NLP This article is an application of sentiwordnet lexical database. In last article I provided with the code to access the sentiment, here are some more details on sentiwordnet with examples. Sentiwordnet is a nice database for looking up to sentiment of a word given its POS tag. So you can look upContinue reading “Sentiment Analysis with SentiWordNet- Part II”
Sentiment Analysis with Python- SentiWordNet
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”
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”
Professional and Personal Robotic Twin
Note: The original article is present on authors research profile here, “ https://www.researchgate.net/publication/368337127_Professional_and_Personal_Robotic_Twin “ In the era when AI techniques are evolving and changing very fast, here in this paper is proposed a professional robotic twin. Every person can have one or more robotic twins as per his needs. The one at the office canContinue reading “Professional and Personal Robotic Twin”
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.”
Information Retrieval with tf-idf #climate_data
Here in this short article, we analyze Information Retrieval of documents using tf-idf technique. Though this technique is not that popular, but it for sure in parts is backbone of many algorithms. Now, with deep learning this technique has been sidelined, but, none the less, it is the key session of Information Retrieval research. TheContinue reading “Information Retrieval with tf-idf #climate_data”
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”
Artificial Intelligence, Computer Science & Mathematics 