From Words to Vectors: What Happens in Between?
Or, put another way, how the machine is processing the language and generating a response? We have transformed it into a numerical machine learning dataset. We then converted the new review into a TF-IDF vector using the same fitted vectorizer that we used for the training data.···What Happens When We Encounter a New Word?For example, we have a new review: 'the food was delicious'.The word 'delicious' is not present in our vocabulary.
- ▪Or, put another way, how the machine is processing the language and generating a response?
- ▪We have transformed it into a numerical machine learning dataset.
- ▪We then converted the new review into a TF-IDF vector using the same fitted vectorizer that we used for the training data.···What Happens When We Encounter a New Word?For example, we have a new review: 'the food was delicious'.The word 'del
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| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/from-words-to-vectors-what-happens-in-between/ |
| Publication time | Wed, 23 Sep 2026 14:00:01 GMT |
| Retrieval time | 2026-09-23T14:04:30.537Z |
| Last seen | 2026-09-23T14:04:30.537Z |
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| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 1ZrCtVhDeYWv · 1 stories |
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| Publisher visit | Yes — open original |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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NLPFrom Words to Vectors: What Happens in Between?A Journey through TF-IDF, vector space, and text classificationNikhil DasariSeptember 23, 202614 min readPhoto by Alexander Zvir via PexelsWe use AI tools everyday for various tasks like asking a question about something or solving a problem, and we get responses in seconds.Now have you ever wondered about how the machine can understand our language and respond to our questions? Or, put another way, how the machine is processing the language and generating a response? As people who are curious about learning the latest technologies in AI and ML, it's natural to wonder what is happening internally.We already have an idea about machine learning models, and one thing we know is that these models work with numbers, or numerical representations…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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