Twitter is a popular social media network. Its impact on our daily life increasing day by day. not only used for current affairs but also showing its significance in corporate culture. The motivation this research to elaborate the importance of user tweets famous companies around world analyzing according their sentiments, i.e., optimistic (positive), harmful (negative) and disinterested (neutral). This analysis an effort show corelation between variation stock market share prices worldwide....

Intrusion detection system (IDS) is a well-known and effective component of network security that provides transactions upon the systems with safety. Most earlier research has addressed difficulties such as overfitting, feature redundancy, high-dimensional features limited number training samples but selection. We approach problem selection via sparse logistic regression (SPLR). In this paper, we propose discriminative intrusion classification based on SPLR for IDS. The recently developed...

Predicting future sounds like magic, whether it be detecting, in advance, the intent of a potential customer to purchase company's products or figuring out where price stock is heading towards. If we can reliably predict something, then own massive advantage. Machine learning has served amplify this magic and uncover mystery. It also fields sports. Billions people around world are big fans Cricket wait for results eagerly. In paper, discuss 7 <sup...

Twitter (now X) has been gaining popularity with each passing day since its inception in 2006. People have using as an instant repository to collect data and gain insight into folks' minds on trending issues. Although allows access through streaming rest APIs, extracting the required is difficult. The (tweet) returned by .json format, having at least 26 fields. Each field bundled dictionary form structure. tweet metadata such "likes" "retweets" increase volume complexity of a tweet, making...

The Internet is a popular and first-hand source of data about products services. Before buying product, people try to gain quick insight by scanning through online reviews targeted product. However, searching for collecting all the relevant information, reaching decision tedious task that needs be automated. Such composed decision-assisting text analysis systems are not conveniently available worldwide. dream major cities South Punjab, such as Bahawalpur, Multan, Rahimyar khan. This scenario...

Social media has given voice to people around the globe. However, all voices are not counted due scarcity of lexical computational resources. Such resources could harness torrent social text data. Computational for rich languages such as English available. More being developed, meanwhile strengthening and enhancing current ones. Roman Sindhi, a resource-poor writing style, is phonetically language lacking resources, creating working space researchers. This work attempts develop sentiment...

Tremendous advancements in communication systems and computational power have ushered rapid unremitting increase the size of data. Tweets, blogs, product service reviews are a few among main sources user generated text These depict public reaction response about an entity. Sentiment analysis, major application Text Analytics, aims to know collective sentiment people entity under discussion. This work encompass novel hybrid method involving recursive data munging module with machine learning...

People are vigilant about buying a new house or plot where they enthusiastic to live. They likewise capricious in land because of inclusion non-regularized real estate market urban areas. Therefore, there is an autonomous system that may predict the prices rationally. This paper exhibit usage linear, ridge, decision tree and lasso regression techniques for eight different housing societies Multan, major city Pakistan. The Dataset features chosen according general provisions commonly popular...

With around 330 million people the globe tweet 6000 times per second to express their feelings about a product, policy, service, or an event. Twitter message majorly consists of thoughts. Thoughts are mostly expressed as text and it is open challenge extract some insight from free text. The scope this work build effective level sentiment classification framework that may use these thoughts know collective folk on particular subject. Furthermore, also analyses impact proposed recursive...

Cardiovascular Disease (CVD) account for a large portion of the global health burden and are one main causes decease worldwide. In classification forecasting CVDs, Machine Learning (ML) techniques have demonstrated encouraging outcomes. this research report, comparative analysis prediction models CVD is presented, including both linear ensemble ML approaches. The paper compares like Catboost, Histogram Gradient Boosting (HGBM), Extra Trees against Gaussian Nave Bayes, SVM, KNN. objective to...

Online social networks (OSNs) have revolutionized communication by facilitating unprecedented information sharing and global connections. Despite these benefits, OSNs also present significant challenges, including the spread of misinformation, increased distraction, adverse mental health effects. This study examines a dataset 3,904 user reviews collected from online sources personal networks, revealing polarized sentiment distribution with 56% positive, 43.1% negative 0.9% neutral views on...

The Pakistan Super League (PSL) is one of the most popular cricket leagues in world, attracting millions fans and spectators each year. With 2023 edition league just around corner, use predictive models to determine winning team has gained much attention. This systematic review analyzed existing literature on for determining PSL 2023. study examined multiple approaches, including machine learning, statistical modeling, expert opinion. results this suggest that learning models, particularly...

Product fake reviews are increasing as the trend is changing toward online sales and purchases. Fake review detection critical challenging for both researchers retailers. As new techniques introduced to catch reviewer, so their intruding approaches. In this paper, different features amalgamated along with sentiment score design a model that checks performance under classifiers. For purpose, six supervised learning algorithms utilized build models, utilizing LIWC, unigrams, features. Results...