Let’s find solutions with Sentiment Analysis; not just criticize AI chatbots

There are articles after articles, claiming that AI is anti-woke, says lies, and makes its own fake stories. Well, that is good to point out what are the exact mistakes AI can make. As till we know what the bug is how can it be corrected it ? These things need to be corrected. ThinkContinue reading “Let’s find solutions with Sentiment Analysis; not just criticize AI chatbots”

BLOOM: Language Model — Research Paper Review

Key Important Points are given here of the biggest open-source Language Model till now- BLOOM 1) A 176B-Parameter Open-Access Multilingual Language Model. 2) Aim is public release of Large Language Model 3) Pretrained models are popular since they provide better results from small labelled data. 4) No prior LLM was publicly released making BLOOM theContinue reading “BLOOM: Language Model — Research Paper Review”

Sentiment-Oriented Retrieval on Climate Textual Data

#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”

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”

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”

User Specific Word Vectors-Customized on Climate Data

Here in this article, two ways are presented to self-train word vectors. This is highly useful if you do not wish to use word vectors trained on Wikipedia or twitter or so datasets. You can load your data file and make your own model, this model can be saved for future work. This has theContinue reading “User Specific Word Vectors-Customized on Climate Data”

AI & IOT for Biodiversity Preservations and Sustainability

Note: This same article appears in my median.com account as well Biodiversity is one big term for ecosystems, the diverse species, and their genetic variations of kinds known and unknown. This article explains AI-based techniques which can save biodiversity loss and sustain biodiverse ecosystems and environments. We can primarily classify ecosystems of three kinds thatContinue reading “AI & IOT for Biodiversity Preservations and Sustainability”

Artificial Intelligence and Flower Blooming Early – Effect of Ecosystem. Analysis and Solutions!

Spring are associated with warmth and water is required for flowers to bloom. As per Wikipedia (Spring (season) – Wikipedia) spring relates to flowering of many kinds of plants, animal life change, smell of soil that has reached the temperature for flourishing of microflora. Plants flowering a month before, means the heat of Sun orContinue reading “Artificial Intelligence and Flower Blooming Early – Effect of Ecosystem. Analysis and Solutions!”