Struct SemanticEncoder 

pub struct SemanticEncoder { /* private fields */ }

Semantic encoder using Tantivy tokenization and anchor-based TF projection.

Tokenizes text with SimpleTokenizer + LowerCaser (same pipeline as the Tantivy search index), then computes term frequencies against anchor term sets for each semantic axis. Produces SemanticScores in [0, 1] per axis.

Implementations

impl SemanticEncoder

pub fn new() -> Self

Create a new encoder with default anchor terms and Tantivy tokenization.

pub fn encode(&self, text: &str) -> SemanticScores

Encode text into semantic scores (x, y, z) in [0, 1].

Each axis is computed as: axis = (pos_pole + smoothing) / (neg_pole + pos_pole + 2 * smoothing)

With smoothing = 0.5, neutral text (no anchor terms) returns 0.5.

pub fn encode_coordinate( &self, text: &str, temporal_weight: f32, importance: f32, ) -> Coordinate5D

Encode text into a full Coordinate5D with temporal and importance context.

Trait Implementations

impl Default for SemanticEncoder

fn default() -> Self

Returns the “default value” for a type.