Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313563085> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4313563085 abstract "Text classification has become an emerging topic in this modern era as it allow us to extract meaningful information from the data and improve the performance of business and organization. Often termed as Text Tagging or Categorization, these textual data can be Structured, Semi-Structured and Unstructured. This work has utilized unstructured data with the help of twitter API. These unstructured data are then structured using NLP cloud API as the process of manual sorting is time consuming and tedious. The structured textual data comprises of a set of categorical data that is labelled on the basis of the content of the comments. Text Classification has various use cases such as Sentiment analysis, Polarity Checking, Natural Language Inference and accessing grammatical correctness. Earlier experimental work has been carried out using Naive Bayes with a Bag of Words (BOW) feature extraction technique by previous researchers. The objective of this work is to analyze the transformed structured imbalanced data and study the impact it has on the accuracy of Naive Bayes model using Term Frequency-Inverse Document Frequency (TF-IDF) technique. Naive Bayes is a linear, probabilistic and supervised machine learning classifier based on Bayesian theorem. On training and testing the data using the proposed model, it is found that there is an improvement in the overall accuracy with 2-3%." @default.
- W4313563085 created "2023-01-06" @default.
- W4313563085 creator A5050744116 @default.
- W4313563085 creator A5053492956 @default.
- W4313563085 date "2022-11-26" @default.
- W4313563085 modified "2023-09-26" @default.
- W4313563085 title "Classification and Analysis of Textual data using Naive Bayes with TF-IDF" @default.
- W4313563085 cites W1984764020 @default.
- W4313563085 cites W2334175399 @default.
- W4313563085 cites W2613786420 @default.
- W4313563085 cites W2801043081 @default.
- W4313563085 cites W2914774958 @default.
- W4313563085 cites W2963749678 @default.
- W4313563085 cites W2964992537 @default.
- W4313563085 cites W2971045375 @default.
- W4313563085 cites W3021895194 @default.
- W4313563085 cites W3165695323 @default.
- W4313563085 cites W4207030529 @default.
- W4313563085 cites W57814663 @default.
- W4313563085 doi "https://doi.org/10.1109/icecie55199.2022.10000309" @default.
- W4313563085 hasPublicationYear "2022" @default.
- W4313563085 type Work @default.
- W4313563085 citedByCount "0" @default.
- W4313563085 crossrefType "proceedings-article" @default.
- W4313563085 hasAuthorship W4313563085A5050744116 @default.
- W4313563085 hasAuthorship W4313563085A5053492956 @default.
- W4313563085 hasConcept C119857082 @default.
- W4313563085 hasConcept C121332964 @default.
- W4313563085 hasConcept C12267149 @default.
- W4313563085 hasConcept C124101348 @default.
- W4313563085 hasConcept C154945302 @default.
- W4313563085 hasConcept C199360897 @default.
- W4313563085 hasConcept C204321447 @default.
- W4313563085 hasConcept C2781252014 @default.
- W4313563085 hasConcept C41008148 @default.
- W4313563085 hasConcept C52001869 @default.
- W4313563085 hasConcept C55439883 @default.
- W4313563085 hasConcept C61797465 @default.
- W4313563085 hasConcept C62520636 @default.
- W4313563085 hasConcept C66402592 @default.
- W4313563085 hasConcept C75684735 @default.
- W4313563085 hasConcept C81758059 @default.
- W4313563085 hasConceptScore W4313563085C119857082 @default.
- W4313563085 hasConceptScore W4313563085C121332964 @default.
- W4313563085 hasConceptScore W4313563085C12267149 @default.
- W4313563085 hasConceptScore W4313563085C124101348 @default.
- W4313563085 hasConceptScore W4313563085C154945302 @default.
- W4313563085 hasConceptScore W4313563085C199360897 @default.
- W4313563085 hasConceptScore W4313563085C204321447 @default.
- W4313563085 hasConceptScore W4313563085C2781252014 @default.
- W4313563085 hasConceptScore W4313563085C41008148 @default.
- W4313563085 hasConceptScore W4313563085C52001869 @default.
- W4313563085 hasConceptScore W4313563085C55439883 @default.
- W4313563085 hasConceptScore W4313563085C61797465 @default.
- W4313563085 hasConceptScore W4313563085C62520636 @default.
- W4313563085 hasConceptScore W4313563085C66402592 @default.
- W4313563085 hasConceptScore W4313563085C75684735 @default.
- W4313563085 hasConceptScore W4313563085C81758059 @default.
- W4313563085 hasLocation W43135630851 @default.
- W4313563085 hasOpenAccess W4313563085 @default.
- W4313563085 hasPrimaryLocation W43135630851 @default.
- W4313563085 hasRelatedWork W2741836081 @default.
- W4313563085 hasRelatedWork W3015597294 @default.
- W4313563085 hasRelatedWork W3147637749 @default.
- W4313563085 hasRelatedWork W3213901898 @default.
- W4313563085 hasRelatedWork W4211165872 @default.
- W4313563085 hasRelatedWork W4220970138 @default.
- W4313563085 hasRelatedWork W4281608370 @default.
- W4313563085 hasRelatedWork W4327531511 @default.
- W4313563085 hasRelatedWork W4327831767 @default.
- W4313563085 hasRelatedWork W4362613237 @default.
- W4313563085 isParatext "false" @default.
- W4313563085 isRetracted "false" @default.
- W4313563085 workType "article" @default.